ollama - 💡(How to fix) Fix Error with intel GPU and unable to use nvidia+intel GPUs at the same time [1 participants]
ON THIS PAGE
Recommended Tools
×6Utilities matched from this issue’s tags and category — try them while you read without losing context.
GitHub issue graph ai analysis
Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.
The report is written in English Markdown for sharing and archival.
Helpful · Quick feedback
ScaryBeats01Error Message
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = granitehybrid llama_model_loader: - kv 1: general.type str = model llama_model_loader: - kv 2: general.name str = Granite 4.0 H Tiny llama_model_loader: - kv 3: general.size_label str = 64x994M llama_model_loader: - kv 4: general.license str = apache-2.0 llama_model_loader: - kv 5: general.tags arr[str,2] = ["language", "granite-4.0"] llama_model_loader: - kv 6: granitehybrid.block_count u32 = 40 llama_model_loader: - kv 7: granitehybrid.context_length u32 = 1048576 llama_model_loader: - kv 8: granitehybrid.embedding_length u32 = 1536 llama_model_loader: - kv 9: granitehybrid.feed_forward_length u32 = 512 llama_model_loader: - kv 10: granitehybrid.attention.head_count u32 = 12 llama_model_loader: - kv 11: granitehybrid.attention.head_count_kv arr[i32,40] = [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, ... llama_model_loader: - kv 12: granitehybrid.rope.freq_base f32 = 10000.000000 llama_model_loader: - kv 13: granitehybrid.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 14: granitehybrid.expert_count u32 = 64 llama_model_loader: - kv 15: granitehybrid.expert_used_count u32 = 6 llama_model_loader: - kv 16: granitehybrid.vocab_size u32 = 100352 llama_model_loader: - kv 17: granitehybrid.rope.dimension_count u32 = 128 llama_model_loader: - kv 18: granitehybrid.attention.scale f32 = 0.007813 llama_model_loader: - kv 19: granitehybrid.embedding_scale f32 = 12.000000 llama_model_loader: - kv 20: granitehybrid.residual_scale f32 = 0.220000 llama_model_loader: - kv 21: granitehybrid.logit_scale f32 = 6.000000 llama_model_loader: - kv 22: granitehybrid.expert_shared_feed_forward_length u32 = 1024 llama_model_loader: - kv 23: granitehybrid.ssm.conv_kernel u32 = 4 llama_model_loader: - kv 24: granitehybrid.ssm.state_size u32 = 128 llama_model_loader: - kv 25: granitehybrid.ssm.group_count u32 = 1 llama_model_loader: - kv 26: granitehybrid.ssm.inner_size u32 = 3072 llama_model_loader: - kv 27: granitehybrid.ssm.time_step_rank u32 = 48 llama_model_loader: - kv 28: granitehybrid.rope.scaling.finetuned bool = false llama_model_loader: - kv 29: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 30: tokenizer.ggml.pre str = dbrx llama_model_loader: - kv 31: tokenizer.ggml.tokens arr[str,100352] = ["!", """, "#", "$", "%", "&", "'", ... llama_model_loader: - kv 32: tokenizer.ggml.token_type arr[i32,100352] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 33: tokenizer.ggml.merges arr[str,100000] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 34: tokenizer.ggml.bos_token_id u32 = 100257 llama_model_loader: - kv 35: tokenizer.ggml.eos_token_id u32 = 100257 llama_model_loader: - kv 36: tokenizer.ggml.unknown_token_id u32 = 100269 llama_model_loader: - kv 37: tokenizer.ggml.padding_token_id u32 = 100256 llama_model_loader: - kv 38: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 39: tokenizer.chat_template str = {%- set tools_system_message_prefix =... llama_model_loader: - kv 40: general.quantization_version u32 = 2 llama_model_loader: - kv 41: general.file_type u32 = 15 llama_model_loader: - type f32: 337 tensors llama_model_loader: - type q4_K: 286 tensors llama_model_loader: - type q6_K: 43 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 3.94 GiB (4.87 BPW) load: printing all EOG tokens: load: - 100257 ('<|end_of_text|>') load: - 100261 ('<|fim_pad|>') load: special tokens cache size = 96 load: token to piece cache size = 0.6152 MB print_info: arch = granitehybrid print_info: vocab_only = 0 print_info: no_alloc = 0 print_info: n_ctx_train = 1048576 print_info: n_embd = 1536 print_info: n_embd_inp = 1536 print_info: n_layer = 40 print_info: n_head = 12 print_info: n_head_kv = [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0] print_info: n_rot = 128 print_info: n_swa = 0 print_info: is_swa_any = 0 print_info: n_embd_head_k = 128 print_info: n_embd_head_v = 128 print_info: n_gqa = [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0] print_info: n_embd_k_gqa = [0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0] print_info: n_embd_v_gqa = [0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0] print_info: f_norm_eps = 0.0e+00 print_info: f_norm_rms_eps = 1.0e-05 print_info: f_clamp_kqv = 0.0e+00 print_info: f_max_alibi_bias = 0.0e+00 print_info: f_logit_scale = 6.0e+00 print_info: f_attn_scale = 7.8e-03 print_info: n_ff = 512 print_info: n_expert = 64 print_info: n_expert_used = 6 print_info: n_expert_groups = 0 print_info: n_group_used = 0 print_info: causal attn = 1 print_info: pooling type = 0 print_info: rope type = 0 print_info: rope scaling = linear print_info: freq_base_train = 10000.0 print_info: freq_scale_train = 1 print_info: n_ctx_orig_yarn = 1048576 print_info: rope_yarn_log_mul= 0.0000 print_info: rope_finetuned = unknown print_info: ssm_d_conv = 4 print_info: ssm_d_inner = 3072 print_info: ssm_d_state = 128 print_info: ssm_dt_rank = 48 print_info: ssm_n_group = 1 print_info: ssm_dt_b_c_rms = 0 print_info: model type = 1B print_info: model params = 6.94 B print_info: general.name = Granite 4.0 H Tiny print_info: f_embedding_scale = 12.000000 print_info: f_residual_scale = 0.220000 print_info: f_attention_scale = 0.007813 print_info: n_ff_shexp = 1024 print_info: vocab type = BPE print_info: n_vocab = 100352 print_info: n_merges = 100000 print_info: BOS token = 100257 '<|end_of_text|>' print_info: EOS token = 100257 '<|end_of_text|>' print_info: EOT token = 100257 '<|end_of_text|>' print_info: UNK token = 100269 '<|unk|>' print_info: PAD token = 100256 '<|pad|>' print_info: LF token = 198 'Ċ' print_info: FIM PRE token = 100258 '<|fim_prefix|>' print_info: FIM SUF token = 100260 '<|fim_suffix|>' print_info: FIM MID token = 100259 '<|fim_middle|>' print_info: FIM PAD token = 100261 '<|fim_pad|>' print_info: EOG token = 100257 '<|end_of_text|>' print_info: EOG token = 100261 '<|fim_pad|>' print_info: max token length = 256 load_tensors: loading model tensors, this can take a while... (mmap = false) ggml_backend_vk_get_device_memory called: uuid 8680a646-0c00-0000-0000-000000000000 ggml_backend_vk_get_device_memory called: luid 0x0000000000013502 ggml_dxgi_pdh_init called DXGI + PDH Initialized. Getting GPU free memory info [DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB [DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB [DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB Integrated GPU (Intel(R) Iris(R) Xe Graphics) with LUID 0x0000000000013502 detected. Shared Total: 8433055744.00 bytes (7.85 GB), Shared Usage: 2856886272.00 bytes (2.66 GB), Dedicated Total: 134217728.00 bytes (0.12 GB), Dedicated Usage: 0.00 bytes (0.00 GB) ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 5710387200 total: 8567273472 ggml_backend_vk_get_device_memory called: uuid a4f6355b-902f-14e3-2b28-2189eb9ad638 ggml_backend_vk_get_device_memory called: luid 0x000000000001386a ggml_dxgi_pdh_init called DXGI + PDH Initialized. Getting GPU free memory info [DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB [DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB [DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB Discrete GPU (NVIDIA GeForce RTX 3050 Ti Laptop GPU) with LUID 0x000000000001386a detected. Dedicated Total: 4157603840.00 bytes (3.87 GB), Dedicated Usage: 9768960.00 bytes (0.01 GB) ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 4147834880 total: 4157603840 load_tensors: offloading 40 repeating layers to GPU load_tensors: offloading output layer to GPU load_tensors: offloaded 41/41 layers to GPU load_tensors: Vulkan1 model buffer size = 4031.55 MiB load_tensors: Vulkan_Host model buffer size = 120.59 MiB ggml_backend_vk_get_device_memory called: uuid 8680a646-0c00-0000-0000-000000000000 ggml_backend_vk_get_device_memory called: luid 0x0000000000013502 ggml_dxgi_pdh_init called DXGI + PDH Initialized. Getting GPU free memory info [DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB [DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB [DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB Integrated GPU (Intel(R) Iris(R) Xe Graphics) with LUID 0x0000000000013502 detected. Shared Total: 8433055744.00 bytes (7.85 GB), Shared Usage: 6038458368.00 bytes (5.62 GB), Dedicated Total: 134217728.00 bytes (0.12 GB), Dedicated Usage: 0.00 bytes (0.00 GB) ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 2528815104 total: 8567273472 time=2026-03-12T21:48:42.270+01:00 level=INFO source=server.go:1384 msg="waiting for server to become available" status="llm server not responding" ggml_vulkan: Memory allocation of size 6144 failed. ggml_vulkan: vk::Device::allocateMemory: ErrorOutOfDeviceMemory Exception 0xe06d7363 0x19930520 0xe24636efb8 0x7ffe1d79055c PC=0x7ffe1d79055c signal arrived during external code execution
runtime.cgocall(0x7ff6fdf10600, 0xc00038fb58) runtime/cgocall.go:167 +0x3e fp=0xc00038fb30 sp=0xc00038fac8 pc=0x7ff6fd02243e github.com/ollama/ollama/llama._Cfunc_llama_model_load_from_file(0x20dada5a720, {0xc000368a10, 0x0, 0x29, 0x1, 0x0, 0xc000334010, 0x7ff6fdf0fd00, 0xc000368a08, 0x0, ...}) _cgo_gotypes.go:902 +0x51 fp=0xc00038fb58 sp=0xc00038fb30 pc=0x7ff6fd4d4bb1 github.com/ollama/ollama/llama.LoadModelFromFile.func1(...) github.com/ollama/ollama/llama/llama.go:308 github.com/ollama/ollama/llama.LoadModelFromFile({0xc0000aa0e0, 0x6b}, {{0xc000334018, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc000334010, 0x1, ...}, ...}) github.com/ollama/ollama/llama/llama.go:308 +0x57f fp=0xc00038fda0 sp=0xc00038fb58 pc=0x7ff6fd4d81df github.com/ollama/ollama/runner/llamarunner.(*Server).loadModel(0xc000130280, {{0xc000334018, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc000334010, 0x1, 0x2}, ...}, ...) github.com/ollama/ollama/runner/llamarunner/runner.go:841 +0x9e fp=0xc00038fee8 sp=0xc00038fda0 pc=0x7ff6fd58f3de github.com/ollama/ollama/runner/llamarunner.(*Server).load.gowrap2() github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x114 fp=0xc00038ffe0 sp=0xc00038fee8 pc=0x7ff6fd5906d4 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00038ffe8 sp=0xc00038ffe0 pc=0x7ff6fd02d9a1 created by github.com/ollama/ollama/runner/llamarunner.(*Server).load in goroutine 41 github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x889
goroutine 1 gp=0xc0000021c0 m=nil [IO wait]: runtime.gopark(0x7ff6fd02f1a0?, 0x7ff6ff2642e0?, 0x20?, 0xa0?, 0xc00013a0cc?) runtime/proc.go:435 +0xce fp=0xc000125630 sp=0xc000125610 pc=0x7ff6fd02598e runtime.netpollblock(0x5bc?, 0xfcfc0406?, 0xf6?) runtime/netpoll.go:575 +0xf7 fp=0xc000125668 sp=0xc000125630 pc=0x7ff6fcfebdf7 internal/poll.runtime_pollWait(0x20d62200e70, 0x72) runtime/netpoll.go:351 +0x85 fp=0xc000125688 sp=0xc000125668 pc=0x7ff6fd024b25 internal/poll.(*pollDesc).wait(0x7ff6fd0ba953?, 0x0?, 0x0) internal/poll/fd_poll_runtime.go:84 +0x27 fp=0xc0001256b0 sp=0xc000125688 pc=0x7ff6fd0bbf47 internal/poll.execIO(0xc00013a020, 0xc000125758) internal/poll/fd_windows.go:177 +0x105 fp=0xc000125728 sp=0xc0001256b0 pc=0x7ff6fd0bd3a5 internal/poll.(*FD).acceptOne(0xc00013a008, 0x5c4, {0xc0001420f0?, 0xc0001257b8?, 0x7ff6fd0c5065?}, 0xc0001257ec?) internal/poll/fd_windows.go:946 +0x65 fp=0xc000125788 sp=0xc000125728 pc=0x7ff6fd0c1925 internal/poll.(*FD).Accept(0xc00013a008, 0xc000125938) internal/poll/fd_windows.go:980 +0x1b6 fp=0xc000125840 sp=0xc000125788 pc=0x7ff6fd0c1c56 net.(*netFD).accept(0xc00013a008) net/fd_windows.go:182 +0x4b fp=0xc000125958 sp=0xc000125840 pc=0x7ff6fd13358b net.(*TCPListener).accept(0xc0000a7600) net/tcpsock_posix.go:159 +0x1b fp=0xc0001259a8 sp=0xc000125958 pc=0x7ff6fd149b3b net.(*TCPListener).Accept(0xc0000a7600) net/tcpsock.go:380 +0x30 fp=0xc0001259d8 sp=0xc0001259a8 pc=0x7ff6fd1488f0 net/http.(*onceCloseListener).Accept(0xc000140090?) <autogenerated>:1 +0x24 fp=0xc0001259f0 sp=0xc0001259d8 pc=0x7ff6fd361fe4 net/http.(*Server).Serve(0xc0001de700, {0x7ff6fe79d5b0, 0xc0000a7600}) net/http/server.go:3424 +0x30c fp=0xc000125b20 sp=0xc0001259f0 pc=0x7ff6fd3398ac github.com/ollama/ollama/runner/llamarunner.Execute({0xc0000c2020, 0x4, 0x6}) github.com/ollama/ollama/runner/llamarunner/runner.go:1002 +0x8f5 fp=0xc000125cf0 sp=0xc000125b20 pc=0x7ff6fd591095 github.com/ollama/ollama/runner.Execute({0xc0000c2010?, 0x0?, 0x0?}) github.com/ollama/ollama/runner/runner.go:25 +0x1a5 fp=0xc000125d30 sp=0xc000125cf0 pc=0x7ff6fd672e25 github.com/ollama/ollama/cmd.NewCLI.func3(0xc00063f200?, {0x7ff6fe5747ef?, 0x4?, 0x7ff6fe5747f3?}) github.com/ollama/ollama/cmd/cmd.go:2271 +0x45 fp=0xc000125d58 sp=0xc000125d30 pc=0x7ff6fde9ee65 github.com/spf13/cobra.(*Command).execute(0xc0002f5b08, {0xc00062b380, 0x4, 0x4}) github.com/spf13/[email protected]/command.go:940 +0x85c fp=0xc000125e78 sp=0xc000125d58 pc=0x7ff6fd1ae75c github.com/spf13/cobra.(*Command).ExecuteC(0xc00068ef08) github.com/spf13/[email protected]/command.go:1068 +0x3a5 fp=0xc000125f30 sp=0xc000125e78 pc=0x7ff6fd1aefa5 github.com/spf13/cobra.(*Command).Execute(...) github.com/spf13/[email protected]/command.go:992 github.com/spf13/cobra.(*Command).ExecuteContext(...) github.com/spf13/[email protected]/command.go:985 main.main() github.com/ollama/ollama/main.go:12 +0x4d fp=0xc000125f50 sp=0xc000125f30 pc=0x7ff6fdea130d runtime.main() runtime/proc.go:283 +0x27d fp=0xc000125fe0 sp=0xc000125f50 pc=0x7ff6fcff4ddd runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000125fe8 sp=0xc000125fe0 pc=0x7ff6fd02d9a1
goroutine 2 gp=0xc0000028c0 m=nil [force gc (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00008dfa8 sp=0xc00008df88 pc=0x7ff6fd02598e runtime.goparkunlock(...) runtime/proc.go:441 runtime.forcegchelper() runtime/proc.go:348 +0xb8 fp=0xc00008dfe0 sp=0xc00008dfa8 pc=0x7ff6fcff50f8 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00008dfe8 sp=0xc00008dfe0 pc=0x7ff6fd02d9a1 created by runtime.init.7 in goroutine 1 runtime/proc.go:336 +0x1a
goroutine 3 gp=0xc000002c40 m=nil [GC sweep wait]: runtime.gopark(0x1?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00008ff80 sp=0xc00008ff60 pc=0x7ff6fd02598e runtime.goparkunlock(...) runtime/proc.go:441 runtime.bgsweep(0xc00009c000) runtime/mgcsweep.go:316 +0xdf fp=0xc00008ffc8 sp=0xc00008ff80 pc=0x7ff6fcfddebf runtime.gcenable.gowrap1() runtime/mgc.go:204 +0x25 fp=0xc00008ffe0 sp=0xc00008ffc8 pc=0x7ff6fcfd2285 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00008ffe8 sp=0xc00008ffe0 pc=0x7ff6fd02d9a1 created by runtime.gcenable in goroutine 1 runtime/mgc.go:204 +0x66
goroutine 4 gp=0xc000002e00 m=nil [GC scavenge wait]: runtime.gopark(0x10000?, 0x7ff6fe787ac0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc0000a3f78 sp=0xc0000a3f58 pc=0x7ff6fd02598e runtime.goparkunlock(...) runtime/proc.go:441 runtime.(*scavengerState).park(0x7ff6ff28e080) runtime/mgcscavenge.go:425 +0x49 fp=0xc0000a3fa8 sp=0xc0000a3f78 pc=0x7ff6fcfdb909 runtime.bgscavenge(0xc00009c000) runtime/mgcscavenge.go:658 +0x59 fp=0xc0000a3fc8 sp=0xc0000a3fa8 pc=0x7ff6fcfdbe99 runtime.gcenable.gowrap2() runtime/mgc.go:205 +0x25 fp=0xc0000a3fe0 sp=0xc0000a3fc8 pc=0x7ff6fcfd2225 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a3fe8 sp=0xc0000a3fe0 pc=0x7ff6fd02d9a1 created by runtime.gcenable in goroutine 1 runtime/mgc.go:205 +0xa5
goroutine 5 gp=0xc000003340 m=nil [finalizer wait]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc0000a5e30 sp=0xc0000a5e10 pc=0x7ff6fd02598e runtime.runfinq() runtime/mfinal.go:196 +0x107 fp=0xc0000a5fe0 sp=0xc0000a5e30 pc=0x7ff6fcfd1207 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a5fe8 sp=0xc0000a5fe0 pc=0x7ff6fd02d9a1 created by runtime.createfing in goroutine 1 runtime/mfinal.go:166 +0x3d
goroutine 6 gp=0xc000003dc0 m=nil [chan receive]: runtime.gopark(0xc000213540?, 0xc000518018?, 0x60?, 0x1f?, 0x7ff6fd11c1a8?) runtime/proc.go:435 +0xce fp=0xc000091f18 sp=0xc000091ef8 pc=0x7ff6fd02598e runtime.chanrecv(0xc0000aa3f0, 0x0, 0x1) runtime/chan.go:664 +0x445 fp=0xc000091f90 sp=0xc000091f18 pc=0x7ff6fcfc2d45 runtime.chanrecv1(0x7ff6fcff4f40?, 0xc000091f76?) runtime/chan.go:506 +0x12 fp=0xc000091fb8 sp=0xc000091f90 pc=0x7ff6fcfc28d2 runtime.unique_runtime_registerUniqueMapCleanup.func2(...) runtime/mgc.go:1796 runtime.unique_runtime_registerUniqueMapCleanup.gowrap1() runtime/mgc.go:1799 +0x2f fp=0xc000091fe0 sp=0xc000091fb8 pc=0x7ff6fcfd54af runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000091fe8 sp=0xc000091fe0 pc=0x7ff6fd02d9a1 created by unique.runtime_registerUniqueMapCleanup in goroutine 1 runtime/mgc.go:1794 +0x85
goroutine 7 gp=0xc000268540 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00009ff38 sp=0xc00009ff18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00009ffc8 sp=0xc00009ff38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00009ffe0 sp=0xc00009ffc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00009ffe8 sp=0xc00009ffe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 8 gp=0xc000268700 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc0000a1f38 sp=0xc0000a1f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc0000a1fc8 sp=0xc0000a1f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc0000a1fe0 sp=0xc0000a1fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a1fe8 sp=0xc0000a1fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 9 gp=0xc0002688c0 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000473f38 sp=0xc000473f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000473fc8 sp=0xc000473f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000473fe0 sp=0xc000473fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000473fe8 sp=0xc000473fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 10 gp=0xc000268a80 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000475f38 sp=0xc000475f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000475fc8 sp=0xc000475f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000475fe0 sp=0xc000475fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000475fe8 sp=0xc000475fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 18 gp=0xc000484000 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00046ff38 sp=0xc00046ff18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00046ffc8 sp=0xc00046ff38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00046ffe0 sp=0xc00046ffc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00046ffe8 sp=0xc00046ffe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 34 gp=0xc0001061c0 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000113f38 sp=0xc000113f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000113fc8 sp=0xc000113f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000113fe0 sp=0xc000113fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000113fe8 sp=0xc000113fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 19 gp=0xc0004841c0 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000471f38 sp=0xc000471f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000471fc8 sp=0xc000471f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000471fe0 sp=0xc000471fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000471fe8 sp=0xc000471fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 11 gp=0xc000268c40 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00010ff38 sp=0xc00010ff18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00010ffc8 sp=0xc00010ff38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00010ffe0 sp=0xc00010ffc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00010ffe8 sp=0xc00010ffe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 12 gp=0xc000268e00 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000111f38 sp=0xc000111f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000111fc8 sp=0xc000111f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000111fe0 sp=0xc000111fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000111fe8 sp=0xc000111fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 13 gp=0xc000268fc0 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00047bf38 sp=0xc00047bf18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00047bfc8 sp=0xc00047bf38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00047bfe0 sp=0xc00047bfc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00047bfe8 sp=0xc00047bfe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 20 gp=0xc000484380 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000477f38 sp=0xc000477f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000477fc8 sp=0xc000477f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000477fe0 sp=0xc000477fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000477fe8 sp=0xc000477fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 35 gp=0xc000106380 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000115f38 sp=0xc000115f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000115fc8 sp=0xc000115f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000115fe0 sp=0xc000115fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000115fe8 sp=0xc000115fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 36 gp=0xc000106540 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00011bf38 sp=0xc00011bf18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00011bfc8 sp=0xc00011bf38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00011bfe0 sp=0xc00011bfc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00011bfe8 sp=0xc00011bfe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 37 gp=0xc000106700 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00011df38 sp=0xc00011df18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00011dfc8 sp=0xc00011df38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00011dfe0 sp=0xc00011dfc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00011dfe8 sp=0xc00011dfe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 38 gp=0xc0001068c0 m=nil [GC worker (idle)]: runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000117f38 sp=0xc000117f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000117fc8 sp=0xc000117f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000117fe0 sp=0xc000117fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000117fe8 sp=0xc000117fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 39 gp=0xc000106a80 m=nil [GC worker (idle)]: runtime.gopark(0x2d24f5154b30?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000119f38 sp=0xc000119f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000119fc8 sp=0xc000119f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000119fe0 sp=0xc000119fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000119fe8 sp=0xc000119fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 21 gp=0xc000484540 m=nil [GC worker (idle)]: runtime.gopark(0x2d24f5154b30?, 0x0?, 0x0?, 0x0?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000479f38 sp=0xc000479f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000479fc8 sp=0xc000479f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000479fe0 sp=0xc000479fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000479fe8 sp=0xc000479fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 14 gp=0xc000269180 m=nil [GC worker (idle)]: runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?) runtime/proc.go:435 +0xce fp=0xc00047df38 sp=0xc00047df18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc00047dfc8 sp=0xc00047df38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc00047dfe0 sp=0xc00047dfc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc00047dfe8 sp=0xc00047dfe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 15 gp=0xc000269340 m=nil [GC worker (idle)]: runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000505f38 sp=0xc000505f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000505fc8 sp=0xc000505f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000505fe0 sp=0xc000505fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000505fe8 sp=0xc000505fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 16 gp=0xc000269500 m=nil [GC worker (idle)]: runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000507f38 sp=0xc000507f18 pc=0x7ff6fd02598e runtime.gcBgMarkWorker(0xc0000ab810) runtime/mgc.go:1423 +0xe9 fp=0xc000507fc8 sp=0xc000507f38 pc=0x7ff6fcfd47a9 runtime.gcBgMarkStartWorkers.gowrap1() runtime/mgc.go:1339 +0x25 fp=0xc000507fe0 sp=0xc000507fc8 pc=0x7ff6fcfd4685 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000507fe8 sp=0xc000507fe0 pc=0x7ff6fd02d9a1 created by runtime.gcBgMarkStartWorkers in goroutine 1 runtime/mgc.go:1339 +0x105
goroutine 40 gp=0xc000484700 m=nil [sync.WaitGroup.Wait]: runtime.gopark(0x0?, 0x0?, 0x60?, 0xfe?, 0x0?) runtime/proc.go:435 +0xce fp=0xc000501e20 sp=0xc000501e00 pc=0x7ff6fd02598e runtime.goparkunlock(...) runtime/proc.go:441 runtime.semacquire1(0xc0001302a0, 0x0, 0x1, 0x0, 0x18) runtime/sema.go:188 +0x22f fp=0xc000501e88 sp=0xc000501e20 pc=0x7ff6fd00750f sync.runtime_SemacquireWaitGroup(0x0?) runtime/sema.go:110 +0x25 fp=0xc000501ec0 sp=0xc000501e88 pc=0x7ff6fd026f85 sync.(*WaitGroup).Wait(0x0?) sync/waitgroup.go:118 +0x48 fp=0xc000501ee8 sp=0xc000501ec0 pc=0x7ff6fd03b988 github.com/ollama/ollama/runner/llamarunner.(*Server).run(0xc000130280, {0x7ff6fe79fed0, 0xc0001340f0}) github.com/ollama/ollama/runner/llamarunner/runner.go:360 +0x4b fp=0xc000501fb8 sp=0xc000501ee8 pc=0x7ff6fd58bdab github.com/ollama/ollama/runner/llamarunner.Execute.gowrap1() github.com/ollama/ollama/runner/llamarunner/runner.go:981 +0x28 fp=0xc000501fe0 sp=0xc000501fb8 pc=0x7ff6fd591308 runtime.goexit({}) runtime/asm_amd64.s:1700 +0x1 fp=0xc000501fe8 sp=0xc000501fe0 pc=0x7ff6fd02d9a1 created by github.com/ollama/ollama/runner/llamarunner.Execute in goroutine 1 github.com/ollama/ollama/runner/llamarunner/runner.go:981 +0x4c5 rax 0x0 rbx 0x7ffd0d923c60 rcx 0x7ffd0d907da0 rdx 0x7ffd0a8ca55c rdi 0x19930520 rsi 0xe24636efb8 rbp 0xe24636ef70 rsp 0xe24636a0f0 r8 0x0 r9 0x0 r10 0xfffffffffffffffe r11 0x0 r12 0xe24636a310 r13 0x0 r14 0xe24636b198 r15 0x0 rip 0x7ffe1d79055c rflags 0x202 cs 0x33 fs 0x53 gs 0x2b
Code Example
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = granitehybrid
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Granite 4.0 H Tiny
llama_model_loader: - kv 3: general.size_label str = 64x994M
llama_model_loader: - kv 4: general.license str = apache-2.0
llama_model_loader: - kv 5: general.tags arr[str,2] = ["language", "granite-4.0"]
llama_model_loader: - kv 6: granitehybrid.block_count u32 = 40
llama_model_loader: - kv 7: granitehybrid.context_length u32 = 1048576
llama_model_loader: - kv 8: granitehybrid.embedding_length u32 = 1536
llama_model_loader: - kv 9: granitehybrid.feed_forward_length u32 = 512
llama_model_loader: - kv 10: granitehybrid.attention.head_count u32 = 12
llama_model_loader: - kv 11: granitehybrid.attention.head_count_kv arr[i32,40] = [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, ...
llama_model_loader: - kv 12: granitehybrid.rope.freq_base f32 = 10000.000000
llama_model_loader: - kv 13: granitehybrid.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 14: granitehybrid.expert_count u32 = 64
llama_model_loader: - kv 15: granitehybrid.expert_used_count u32 = 6
llama_model_loader: - kv 16: granitehybrid.vocab_size u32 = 100352
llama_model_loader: - kv 17: granitehybrid.rope.dimension_count u32 = 128
llama_model_loader: - kv 18: granitehybrid.attention.scale f32 = 0.007813
llama_model_loader: - kv 19: granitehybrid.embedding_scale f32 = 12.000000
llama_model_loader: - kv 20: granitehybrid.residual_scale f32 = 0.220000
llama_model_loader: - kv 21: granitehybrid.logit_scale f32 = 6.000000
llama_model_loader: - kv 22: granitehybrid.expert_shared_feed_forward_length u32 = 1024
llama_model_loader: - kv 23: granitehybrid.ssm.conv_kernel u32 = 4
llama_model_loader: - kv 24: granitehybrid.ssm.state_size u32 = 128
llama_model_loader: - kv 25: granitehybrid.ssm.group_count u32 = 1
llama_model_loader: - kv 26: granitehybrid.ssm.inner_size u32 = 3072
llama_model_loader: - kv 27: granitehybrid.ssm.time_step_rank u32 = 48
llama_model_loader: - kv 28: granitehybrid.rope.scaling.finetuned bool = false
llama_model_loader: - kv 29: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 30: tokenizer.ggml.pre str = dbrx
llama_model_loader: - kv 31: tokenizer.ggml.tokens arr[str,100352] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 32: tokenizer.ggml.token_type arr[i32,100352] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 33: tokenizer.ggml.merges arr[str,100000] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 34: tokenizer.ggml.bos_token_id u32 = 100257
llama_model_loader: - kv 35: tokenizer.ggml.eos_token_id u32 = 100257
llama_model_loader: - kv 36: tokenizer.ggml.unknown_token_id u32 = 100269
llama_model_loader: - kv 37: tokenizer.ggml.padding_token_id u32 = 100256
llama_model_loader: - kv 38: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 39: tokenizer.chat_template str = {%- set tools_system_message_prefix =...
llama_model_loader: - kv 40: general.quantization_version u32 = 2
llama_model_loader: - kv 41: general.file_type u32 = 15
llama_model_loader: - type f32: 337 tensors
llama_model_loader: - type q4_K: 286 tensors
llama_model_loader: - type q6_K: 43 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 3.94 GiB (4.87 BPW)
load: printing all EOG tokens:
load: - 100257 ('<|end_of_text|>')
load: - 100261 ('<|fim_pad|>')
load: special tokens cache size = 96
load: token to piece cache size = 0.6152 MB
print_info: arch = granitehybrid
print_info: vocab_only = 0
print_info: no_alloc = 0
print_info: n_ctx_train = 1048576
print_info: n_embd = 1536
print_info: n_embd_inp = 1536
print_info: n_layer = 40
print_info: n_head = 12
print_info: n_head_kv = [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0]
print_info: n_rot = 128
print_info: n_swa = 0
print_info: is_swa_any = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0]
print_info: n_embd_k_gqa = [0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0]
print_info: n_embd_v_gqa = [0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0]
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-05
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 6.0e+00
print_info: f_attn_scale = 7.8e-03
print_info: n_ff = 512
print_info: n_expert = 64
print_info: n_expert_used = 6
print_info: n_expert_groups = 0
print_info: n_group_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 0
print_info: rope scaling = linear
print_info: freq_base_train = 10000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 1048576
print_info: rope_yarn_log_mul= 0.0000
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 4
print_info: ssm_d_inner = 3072
print_info: ssm_d_state = 128
print_info: ssm_dt_rank = 48
print_info: ssm_n_group = 1
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 1B
print_info: model params = 6.94 B
print_info: general.name = Granite 4.0 H Tiny
print_info: f_embedding_scale = 12.000000
print_info: f_residual_scale = 0.220000
print_info: f_attention_scale = 0.007813
print_info: n_ff_shexp = 1024
print_info: vocab type = BPE
print_info: n_vocab = 100352
print_info: n_merges = 100000
print_info: BOS token = 100257 '<|end_of_text|>'
print_info: EOS token = 100257 '<|end_of_text|>'
print_info: EOT token = 100257 '<|end_of_text|>'
print_info: UNK token = 100269 '<|unk|>'
print_info: PAD token = 100256 '<|pad|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 100258 '<|fim_prefix|>'
print_info: FIM SUF token = 100260 '<|fim_suffix|>'
print_info: FIM MID token = 100259 '<|fim_middle|>'
print_info: FIM PAD token = 100261 '<|fim_pad|>'
print_info: EOG token = 100257 '<|end_of_text|>'
print_info: EOG token = 100261 '<|fim_pad|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = false)
ggml_backend_vk_get_device_memory called: uuid 8680a646-0c00-0000-0000-000000000000
ggml_backend_vk_get_device_memory called: luid 0x0000000000013502
ggml_dxgi_pdh_init called
DXGI + PDH Initialized. Getting GPU free memory info
[DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB
Integrated GPU (Intel(R) Iris(R) Xe Graphics) with LUID 0x0000000000013502 detected. Shared Total: 8433055744.00 bytes (7.85 GB), Shared Usage: 2856886272.00 bytes (2.66 GB), Dedicated Total: 134217728.00 bytes (0.12 GB), Dedicated Usage: 0.00 bytes (0.00 GB)
ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 5710387200 total: 8567273472
ggml_backend_vk_get_device_memory called: uuid a4f6355b-902f-14e3-2b28-2189eb9ad638
ggml_backend_vk_get_device_memory called: luid 0x000000000001386a
ggml_dxgi_pdh_init called
DXGI + PDH Initialized. Getting GPU free memory info
[DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB
Discrete GPU (NVIDIA GeForce RTX 3050 Ti Laptop GPU) with LUID 0x000000000001386a detected. Dedicated Total: 4157603840.00 bytes (3.87 GB), Dedicated Usage: 9768960.00 bytes (0.01 GB)
ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 4147834880 total: 4157603840
load_tensors: offloading 40 repeating layers to GPU
load_tensors: offloading output layer to GPU
load_tensors: offloaded 41/41 layers to GPU
load_tensors: Vulkan1 model buffer size = 4031.55 MiB
load_tensors: Vulkan_Host model buffer size = 120.59 MiB
ggml_backend_vk_get_device_memory called: uuid 8680a646-0c00-0000-0000-000000000000
ggml_backend_vk_get_device_memory called: luid 0x0000000000013502
ggml_dxgi_pdh_init called
DXGI + PDH Initialized. Getting GPU free memory info
[DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB
Integrated GPU (Intel(R) Iris(R) Xe Graphics) with LUID 0x0000000000013502 detected. Shared Total: 8433055744.00 bytes (7.85 GB), Shared Usage: 6038458368.00 bytes (5.62 GB), Dedicated Total: 134217728.00 bytes (0.12 GB), Dedicated Usage: 0.00 bytes (0.00 GB)
ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 2528815104 total: 8567273472
time=2026-03-12T21:48:42.270+01:00 level=INFO source=server.go:1384 msg="waiting for server to become available" status="llm server not responding"
ggml_vulkan: Memory allocation of size 6144 failed.
ggml_vulkan: vk::Device::allocateMemory: ErrorOutOfDeviceMemory
Exception 0xe06d7363 0x19930520 0xe24636efb8 0x7ffe1d79055c
PC=0x7ffe1d79055c
signal arrived during external code execution
runtime.cgocall(0x7ff6fdf10600, 0xc00038fb58)
runtime/cgocall.go:167 +0x3e fp=0xc00038fb30 sp=0xc00038fac8 pc=0x7ff6fd02243e
github.com/ollama/ollama/llama._Cfunc_llama_model_load_from_file(0x20dada5a720, {0xc000368a10, 0x0, 0x29, 0x1, 0x0, 0xc000334010, 0x7ff6fdf0fd00, 0xc000368a08, 0x0, ...})
_cgo_gotypes.go:902 +0x51 fp=0xc00038fb58 sp=0xc00038fb30 pc=0x7ff6fd4d4bb1
github.com/ollama/ollama/llama.LoadModelFromFile.func1(...)
github.com/ollama/ollama/llama/llama.go:308
github.com/ollama/ollama/llama.LoadModelFromFile({0xc0000aa0e0, 0x6b}, {{0xc000334018, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc000334010, 0x1, ...}, ...})
github.com/ollama/ollama/llama/llama.go:308 +0x57f fp=0xc00038fda0 sp=0xc00038fb58 pc=0x7ff6fd4d81df
github.com/ollama/ollama/runner/llamarunner.(*Server).loadModel(0xc000130280, {{0xc000334018, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc000334010, 0x1, 0x2}, ...}, ...)
github.com/ollama/ollama/runner/llamarunner/runner.go:841 +0x9e fp=0xc00038fee8 sp=0xc00038fda0 pc=0x7ff6fd58f3de
github.com/ollama/ollama/runner/llamarunner.(*Server).load.gowrap2()
github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x114 fp=0xc00038ffe0 sp=0xc00038fee8 pc=0x7ff6fd5906d4
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00038ffe8 sp=0xc00038ffe0 pc=0x7ff6fd02d9a1
created by github.com/ollama/ollama/runner/llamarunner.(*Server).load in goroutine 41
github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x889
goroutine 1 gp=0xc0000021c0 m=nil [IO wait]:
runtime.gopark(0x7ff6fd02f1a0?, 0x7ff6ff2642e0?, 0x20?, 0xa0?, 0xc00013a0cc?)
runtime/proc.go:435 +0xce fp=0xc000125630 sp=0xc000125610 pc=0x7ff6fd02598e
runtime.netpollblock(0x5bc?, 0xfcfc0406?, 0xf6?)
runtime/netpoll.go:575 +0xf7 fp=0xc000125668 sp=0xc000125630 pc=0x7ff6fcfebdf7
internal/poll.runtime_pollWait(0x20d62200e70, 0x72)
runtime/netpoll.go:351 +0x85 fp=0xc000125688 sp=0xc000125668 pc=0x7ff6fd024b25
internal/poll.(*pollDesc).wait(0x7ff6fd0ba953?, 0x0?, 0x0)
internal/poll/fd_poll_runtime.go:84 +0x27 fp=0xc0001256b0 sp=0xc000125688 pc=0x7ff6fd0bbf47
internal/poll.execIO(0xc00013a020, 0xc000125758)
internal/poll/fd_windows.go:177 +0x105 fp=0xc000125728 sp=0xc0001256b0 pc=0x7ff6fd0bd3a5
internal/poll.(*FD).acceptOne(0xc00013a008, 0x5c4, {0xc0001420f0?, 0xc0001257b8?, 0x7ff6fd0c5065?}, 0xc0001257ec?)
internal/poll/fd_windows.go:946 +0x65 fp=0xc000125788 sp=0xc000125728 pc=0x7ff6fd0c1925
internal/poll.(*FD).Accept(0xc00013a008, 0xc000125938)
internal/poll/fd_windows.go:980 +0x1b6 fp=0xc000125840 sp=0xc000125788 pc=0x7ff6fd0c1c56
net.(*netFD).accept(0xc00013a008)
net/fd_windows.go:182 +0x4b fp=0xc000125958 sp=0xc000125840 pc=0x7ff6fd13358b
net.(*TCPListener).accept(0xc0000a7600)
net/tcpsock_posix.go:159 +0x1b fp=0xc0001259a8 sp=0xc000125958 pc=0x7ff6fd149b3b
net.(*TCPListener).Accept(0xc0000a7600)
net/tcpsock.go:380 +0x30 fp=0xc0001259d8 sp=0xc0001259a8 pc=0x7ff6fd1488f0
net/http.(*onceCloseListener).Accept(0xc000140090?)
<autogenerated>:1 +0x24 fp=0xc0001259f0 sp=0xc0001259d8 pc=0x7ff6fd361fe4
net/http.(*Server).Serve(0xc0001de700, {0x7ff6fe79d5b0, 0xc0000a7600})
net/http/server.go:3424 +0x30c fp=0xc000125b20 sp=0xc0001259f0 pc=0x7ff6fd3398ac
github.com/ollama/ollama/runner/llamarunner.Execute({0xc0000c2020, 0x4, 0x6})
github.com/ollama/ollama/runner/llamarunner/runner.go:1002 +0x8f5 fp=0xc000125cf0 sp=0xc000125b20 pc=0x7ff6fd591095
github.com/ollama/ollama/runner.Execute({0xc0000c2010?, 0x0?, 0x0?})
github.com/ollama/ollama/runner/runner.go:25 +0x1a5 fp=0xc000125d30 sp=0xc000125cf0 pc=0x7ff6fd672e25
github.com/ollama/ollama/cmd.NewCLI.func3(0xc00063f200?, {0x7ff6fe5747ef?, 0x4?, 0x7ff6fe5747f3?})
github.com/ollama/ollama/cmd/cmd.go:2271 +0x45 fp=0xc000125d58 sp=0xc000125d30 pc=0x7ff6fde9ee65
github.com/spf13/cobra.(*Command).execute(0xc0002f5b08, {0xc00062b380, 0x4, 0x4})
github.com/spf13/cobra@v1.7.0/command.go:940 +0x85c fp=0xc000125e78 sp=0xc000125d58 pc=0x7ff6fd1ae75c
github.com/spf13/cobra.(*Command).ExecuteC(0xc00068ef08)
github.com/spf13/cobra@v1.7.0/command.go:1068 +0x3a5 fp=0xc000125f30 sp=0xc000125e78 pc=0x7ff6fd1aefa5
github.com/spf13/cobra.(*Command).Execute(...)
github.com/spf13/cobra@v1.7.0/command.go:992
github.com/spf13/cobra.(*Command).ExecuteContext(...)
github.com/spf13/cobra@v1.7.0/command.go:985
main.main()
github.com/ollama/ollama/main.go:12 +0x4d fp=0xc000125f50 sp=0xc000125f30 pc=0x7ff6fdea130d
runtime.main()
runtime/proc.go:283 +0x27d fp=0xc000125fe0 sp=0xc000125f50 pc=0x7ff6fcff4ddd
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000125fe8 sp=0xc000125fe0 pc=0x7ff6fd02d9a1
goroutine 2 gp=0xc0000028c0 m=nil [force gc (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00008dfa8 sp=0xc00008df88 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.forcegchelper()
runtime/proc.go:348 +0xb8 fp=0xc00008dfe0 sp=0xc00008dfa8 pc=0x7ff6fcff50f8
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00008dfe8 sp=0xc00008dfe0 pc=0x7ff6fd02d9a1
created by runtime.init.7 in goroutine 1
runtime/proc.go:336 +0x1a
goroutine 3 gp=0xc000002c40 m=nil [GC sweep wait]:
runtime.gopark(0x1?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00008ff80 sp=0xc00008ff60 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.bgsweep(0xc00009c000)
runtime/mgcsweep.go:316 +0xdf fp=0xc00008ffc8 sp=0xc00008ff80 pc=0x7ff6fcfddebf
runtime.gcenable.gowrap1()
runtime/mgc.go:204 +0x25 fp=0xc00008ffe0 sp=0xc00008ffc8 pc=0x7ff6fcfd2285
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00008ffe8 sp=0xc00008ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcenable in goroutine 1
runtime/mgc.go:204 +0x66
goroutine 4 gp=0xc000002e00 m=nil [GC scavenge wait]:
runtime.gopark(0x10000?, 0x7ff6fe787ac0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc0000a3f78 sp=0xc0000a3f58 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.(*scavengerState).park(0x7ff6ff28e080)
runtime/mgcscavenge.go:425 +0x49 fp=0xc0000a3fa8 sp=0xc0000a3f78 pc=0x7ff6fcfdb909
runtime.bgscavenge(0xc00009c000)
runtime/mgcscavenge.go:658 +0x59 fp=0xc0000a3fc8 sp=0xc0000a3fa8 pc=0x7ff6fcfdbe99
runtime.gcenable.gowrap2()
runtime/mgc.go:205 +0x25 fp=0xc0000a3fe0 sp=0xc0000a3fc8 pc=0x7ff6fcfd2225
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a3fe8 sp=0xc0000a3fe0 pc=0x7ff6fd02d9a1
created by runtime.gcenable in goroutine 1
runtime/mgc.go:205 +0xa5
goroutine 5 gp=0xc000003340 m=nil [finalizer wait]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc0000a5e30 sp=0xc0000a5e10 pc=0x7ff6fd02598e
runtime.runfinq()
runtime/mfinal.go:196 +0x107 fp=0xc0000a5fe0 sp=0xc0000a5e30 pc=0x7ff6fcfd1207
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a5fe8 sp=0xc0000a5fe0 pc=0x7ff6fd02d9a1
created by runtime.createfing in goroutine 1
runtime/mfinal.go:166 +0x3d
goroutine 6 gp=0xc000003dc0 m=nil [chan receive]:
runtime.gopark(0xc000213540?, 0xc000518018?, 0x60?, 0x1f?, 0x7ff6fd11c1a8?)
runtime/proc.go:435 +0xce fp=0xc000091f18 sp=0xc000091ef8 pc=0x7ff6fd02598e
runtime.chanrecv(0xc0000aa3f0, 0x0, 0x1)
runtime/chan.go:664 +0x445 fp=0xc000091f90 sp=0xc000091f18 pc=0x7ff6fcfc2d45
runtime.chanrecv1(0x7ff6fcff4f40?, 0xc000091f76?)
runtime/chan.go:506 +0x12 fp=0xc000091fb8 sp=0xc000091f90 pc=0x7ff6fcfc28d2
runtime.unique_runtime_registerUniqueMapCleanup.func2(...)
runtime/mgc.go:1796
runtime.unique_runtime_registerUniqueMapCleanup.gowrap1()
runtime/mgc.go:1799 +0x2f fp=0xc000091fe0 sp=0xc000091fb8 pc=0x7ff6fcfd54af
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000091fe8 sp=0xc000091fe0 pc=0x7ff6fd02d9a1
created by unique.runtime_registerUniqueMapCleanup in goroutine 1
runtime/mgc.go:1794 +0x85
goroutine 7 gp=0xc000268540 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00009ff38 sp=0xc00009ff18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00009ffc8 sp=0xc00009ff38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00009ffe0 sp=0xc00009ffc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00009ffe8 sp=0xc00009ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 8 gp=0xc000268700 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc0000a1f38 sp=0xc0000a1f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc0000a1fc8 sp=0xc0000a1f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc0000a1fe0 sp=0xc0000a1fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a1fe8 sp=0xc0000a1fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 9 gp=0xc0002688c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000473f38 sp=0xc000473f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000473fc8 sp=0xc000473f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000473fe0 sp=0xc000473fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000473fe8 sp=0xc000473fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 10 gp=0xc000268a80 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000475f38 sp=0xc000475f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000475fc8 sp=0xc000475f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000475fe0 sp=0xc000475fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000475fe8 sp=0xc000475fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 18 gp=0xc000484000 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00046ff38 sp=0xc00046ff18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00046ffc8 sp=0xc00046ff38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00046ffe0 sp=0xc00046ffc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00046ffe8 sp=0xc00046ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 34 gp=0xc0001061c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000113f38 sp=0xc000113f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000113fc8 sp=0xc000113f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000113fe0 sp=0xc000113fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000113fe8 sp=0xc000113fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 19 gp=0xc0004841c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000471f38 sp=0xc000471f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000471fc8 sp=0xc000471f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000471fe0 sp=0xc000471fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000471fe8 sp=0xc000471fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 11 gp=0xc000268c40 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00010ff38 sp=0xc00010ff18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00010ffc8 sp=0xc00010ff38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00010ffe0 sp=0xc00010ffc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00010ffe8 sp=0xc00010ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 12 gp=0xc000268e00 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000111f38 sp=0xc000111f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000111fc8 sp=0xc000111f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000111fe0 sp=0xc000111fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000111fe8 sp=0xc000111fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 13 gp=0xc000268fc0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00047bf38 sp=0xc00047bf18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00047bfc8 sp=0xc00047bf38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00047bfe0 sp=0xc00047bfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00047bfe8 sp=0xc00047bfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 20 gp=0xc000484380 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000477f38 sp=0xc000477f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000477fc8 sp=0xc000477f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000477fe0 sp=0xc000477fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000477fe8 sp=0xc000477fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 35 gp=0xc000106380 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000115f38 sp=0xc000115f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000115fc8 sp=0xc000115f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000115fe0 sp=0xc000115fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000115fe8 sp=0xc000115fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 36 gp=0xc000106540 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00011bf38 sp=0xc00011bf18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00011bfc8 sp=0xc00011bf38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00011bfe0 sp=0xc00011bfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00011bfe8 sp=0xc00011bfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 37 gp=0xc000106700 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00011df38 sp=0xc00011df18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00011dfc8 sp=0xc00011df38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00011dfe0 sp=0xc00011dfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00011dfe8 sp=0xc00011dfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 38 gp=0xc0001068c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000117f38 sp=0xc000117f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000117fc8 sp=0xc000117f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000117fe0 sp=0xc000117fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000117fe8 sp=0xc000117fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 39 gp=0xc000106a80 m=nil [GC worker (idle)]:
runtime.gopark(0x2d24f5154b30?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000119f38 sp=0xc000119f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000119fc8 sp=0xc000119f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000119fe0 sp=0xc000119fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000119fe8 sp=0xc000119fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 21 gp=0xc000484540 m=nil [GC worker (idle)]:
runtime.gopark(0x2d24f5154b30?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000479f38 sp=0xc000479f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000479fc8 sp=0xc000479f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000479fe0 sp=0xc000479fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000479fe8 sp=0xc000479fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 14 gp=0xc000269180 m=nil [GC worker (idle)]:
runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00047df38 sp=0xc00047df18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00047dfc8 sp=0xc00047df38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00047dfe0 sp=0xc00047dfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00047dfe8 sp=0xc00047dfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 15 gp=0xc000269340 m=nil [GC worker (idle)]:
runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000505f38 sp=0xc000505f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000505fc8 sp=0xc000505f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000505fe0 sp=0xc000505fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000505fe8 sp=0xc000505fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 16 gp=0xc000269500 m=nil [GC worker (idle)]:
runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000507f38 sp=0xc000507f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000507fc8 sp=0xc000507f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000507fe0 sp=0xc000507fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000507fe8 sp=0xc000507fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 40 gp=0xc000484700 m=nil [sync.WaitGroup.Wait]:
runtime.gopark(0x0?, 0x0?, 0x60?, 0xfe?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000501e20 sp=0xc000501e00 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.semacquire1(0xc0001302a0, 0x0, 0x1, 0x0, 0x18)
runtime/sema.go:188 +0x22f fp=0xc000501e88 sp=0xc000501e20 pc=0x7ff6fd00750f
sync.runtime_SemacquireWaitGroup(0x0?)
runtime/sema.go:110 +0x25 fp=0xc000501ec0 sp=0xc000501e88 pc=0x7ff6fd026f85
sync.(*WaitGroup).Wait(0x0?)
sync/waitgroup.go:118 +0x48 fp=0xc000501ee8 sp=0xc000501ec0 pc=0x7ff6fd03b988
github.com/ollama/ollama/runner/llamarunner.(*Server).run(0xc000130280, {0x7ff6fe79fed0, 0xc0001340f0})
github.com/ollama/ollama/runner/llamarunner/runner.go:360 +0x4b fp=0xc000501fb8 sp=0xc000501ee8 pc=0x7ff6fd58bdab
github.com/ollama/ollama/runner/llamarunner.Execute.gowrap1()
github.com/ollama/ollama/runner/llamarunner/runner.go:981 +0x28 fp=0xc000501fe0 sp=0xc000501fb8 pc=0x7ff6fd591308
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000501fe8 sp=0xc000501fe0 pc=0x7ff6fd02d9a1
created by github.com/ollama/ollama/runner/llamarunner.Execute in goroutine 1
github.com/ollama/ollama/runner/llamarunner/runner.go:981 +0x4c5
rax 0x0
rbx 0x7ffd0d923c60
rcx 0x7ffd0d907da0
rdx 0x7ffd0a8ca55c
rdi 0x19930520
rsi 0xe24636efb8
rbp 0xe24636ef70
rsp 0xe24636a0f0
r8 0x0
r9 0x0
r10 0xfffffffffffffffe
r11 0x0
r12 0xe24636a310
r13 0x0
r14 0xe24636b198
r15 0x0
rip 0x7ffe1d79055c
rflags 0x202
cs 0x33
fs 0x53
gs 0x2bRAW_BUFFERClick to expand / collapse
What is the issue?
I'm trying to use one intel GPU at the same time with and nvidia GPU. but ollama only is working with the intel GPU (with error like bellow), but doesn't use the nvidia GPU. I've set this env vars: OLLAMA_SCHED_SPREAD 1 OLLAMA_VULKAN 1 OLLAMA_GPU_OVERHEAD 0 OLLAMA_NEW_ENGINE 1
Relevant log output
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = granitehybrid
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Granite 4.0 H Tiny
llama_model_loader: - kv 3: general.size_label str = 64x994M
llama_model_loader: - kv 4: general.license str = apache-2.0
llama_model_loader: - kv 5: general.tags arr[str,2] = ["language", "granite-4.0"]
llama_model_loader: - kv 6: granitehybrid.block_count u32 = 40
llama_model_loader: - kv 7: granitehybrid.context_length u32 = 1048576
llama_model_loader: - kv 8: granitehybrid.embedding_length u32 = 1536
llama_model_loader: - kv 9: granitehybrid.feed_forward_length u32 = 512
llama_model_loader: - kv 10: granitehybrid.attention.head_count u32 = 12
llama_model_loader: - kv 11: granitehybrid.attention.head_count_kv arr[i32,40] = [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, ...
llama_model_loader: - kv 12: granitehybrid.rope.freq_base f32 = 10000.000000
llama_model_loader: - kv 13: granitehybrid.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 14: granitehybrid.expert_count u32 = 64
llama_model_loader: - kv 15: granitehybrid.expert_used_count u32 = 6
llama_model_loader: - kv 16: granitehybrid.vocab_size u32 = 100352
llama_model_loader: - kv 17: granitehybrid.rope.dimension_count u32 = 128
llama_model_loader: - kv 18: granitehybrid.attention.scale f32 = 0.007813
llama_model_loader: - kv 19: granitehybrid.embedding_scale f32 = 12.000000
llama_model_loader: - kv 20: granitehybrid.residual_scale f32 = 0.220000
llama_model_loader: - kv 21: granitehybrid.logit_scale f32 = 6.000000
llama_model_loader: - kv 22: granitehybrid.expert_shared_feed_forward_length u32 = 1024
llama_model_loader: - kv 23: granitehybrid.ssm.conv_kernel u32 = 4
llama_model_loader: - kv 24: granitehybrid.ssm.state_size u32 = 128
llama_model_loader: - kv 25: granitehybrid.ssm.group_count u32 = 1
llama_model_loader: - kv 26: granitehybrid.ssm.inner_size u32 = 3072
llama_model_loader: - kv 27: granitehybrid.ssm.time_step_rank u32 = 48
llama_model_loader: - kv 28: granitehybrid.rope.scaling.finetuned bool = false
llama_model_loader: - kv 29: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 30: tokenizer.ggml.pre str = dbrx
llama_model_loader: - kv 31: tokenizer.ggml.tokens arr[str,100352] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 32: tokenizer.ggml.token_type arr[i32,100352] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 33: tokenizer.ggml.merges arr[str,100000] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 34: tokenizer.ggml.bos_token_id u32 = 100257
llama_model_loader: - kv 35: tokenizer.ggml.eos_token_id u32 = 100257
llama_model_loader: - kv 36: tokenizer.ggml.unknown_token_id u32 = 100269
llama_model_loader: - kv 37: tokenizer.ggml.padding_token_id u32 = 100256
llama_model_loader: - kv 38: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 39: tokenizer.chat_template str = {%- set tools_system_message_prefix =...
llama_model_loader: - kv 40: general.quantization_version u32 = 2
llama_model_loader: - kv 41: general.file_type u32 = 15
llama_model_loader: - type f32: 337 tensors
llama_model_loader: - type q4_K: 286 tensors
llama_model_loader: - type q6_K: 43 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 3.94 GiB (4.87 BPW)
load: printing all EOG tokens:
load: - 100257 ('<|end_of_text|>')
load: - 100261 ('<|fim_pad|>')
load: special tokens cache size = 96
load: token to piece cache size = 0.6152 MB
print_info: arch = granitehybrid
print_info: vocab_only = 0
print_info: no_alloc = 0
print_info: n_ctx_train = 1048576
print_info: n_embd = 1536
print_info: n_embd_inp = 1536
print_info: n_layer = 40
print_info: n_head = 12
print_info: n_head_kv = [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0]
print_info: n_rot = 128
print_info: n_swa = 0
print_info: is_swa_any = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0]
print_info: n_embd_k_gqa = [0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0]
print_info: n_embd_v_gqa = [0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0]
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-05
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 6.0e+00
print_info: f_attn_scale = 7.8e-03
print_info: n_ff = 512
print_info: n_expert = 64
print_info: n_expert_used = 6
print_info: n_expert_groups = 0
print_info: n_group_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 0
print_info: rope scaling = linear
print_info: freq_base_train = 10000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 1048576
print_info: rope_yarn_log_mul= 0.0000
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 4
print_info: ssm_d_inner = 3072
print_info: ssm_d_state = 128
print_info: ssm_dt_rank = 48
print_info: ssm_n_group = 1
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 1B
print_info: model params = 6.94 B
print_info: general.name = Granite 4.0 H Tiny
print_info: f_embedding_scale = 12.000000
print_info: f_residual_scale = 0.220000
print_info: f_attention_scale = 0.007813
print_info: n_ff_shexp = 1024
print_info: vocab type = BPE
print_info: n_vocab = 100352
print_info: n_merges = 100000
print_info: BOS token = 100257 '<|end_of_text|>'
print_info: EOS token = 100257 '<|end_of_text|>'
print_info: EOT token = 100257 '<|end_of_text|>'
print_info: UNK token = 100269 '<|unk|>'
print_info: PAD token = 100256 '<|pad|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 100258 '<|fim_prefix|>'
print_info: FIM SUF token = 100260 '<|fim_suffix|>'
print_info: FIM MID token = 100259 '<|fim_middle|>'
print_info: FIM PAD token = 100261 '<|fim_pad|>'
print_info: EOG token = 100257 '<|end_of_text|>'
print_info: EOG token = 100261 '<|fim_pad|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = false)
ggml_backend_vk_get_device_memory called: uuid 8680a646-0c00-0000-0000-000000000000
ggml_backend_vk_get_device_memory called: luid 0x0000000000013502
ggml_dxgi_pdh_init called
DXGI + PDH Initialized. Getting GPU free memory info
[DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB
Integrated GPU (Intel(R) Iris(R) Xe Graphics) with LUID 0x0000000000013502 detected. Shared Total: 8433055744.00 bytes (7.85 GB), Shared Usage: 2856886272.00 bytes (2.66 GB), Dedicated Total: 134217728.00 bytes (0.12 GB), Dedicated Usage: 0.00 bytes (0.00 GB)
ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 5710387200 total: 8567273472
ggml_backend_vk_get_device_memory called: uuid a4f6355b-902f-14e3-2b28-2189eb9ad638
ggml_backend_vk_get_device_memory called: luid 0x000000000001386a
ggml_dxgi_pdh_init called
DXGI + PDH Initialized. Getting GPU free memory info
[DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB
Discrete GPU (NVIDIA GeForce RTX 3050 Ti Laptop GPU) with LUID 0x000000000001386a detected. Dedicated Total: 4157603840.00 bytes (3.87 GB), Dedicated Usage: 9768960.00 bytes (0.01 GB)
ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 4147834880 total: 4157603840
load_tensors: offloading 40 repeating layers to GPU
load_tensors: offloading output layer to GPU
load_tensors: offloaded 41/41 layers to GPU
load_tensors: Vulkan1 model buffer size = 4031.55 MiB
load_tensors: Vulkan_Host model buffer size = 120.59 MiB
ggml_backend_vk_get_device_memory called: uuid 8680a646-0c00-0000-0000-000000000000
ggml_backend_vk_get_device_memory called: luid 0x0000000000013502
ggml_dxgi_pdh_init called
DXGI + PDH Initialized. Getting GPU free memory info
[DXGI] Adapter Description: NVIDIA GeForce RTX 3050 Ti Laptop GPU, LUID: 0x000000000001386A, Dedicated: 3.87 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Intel(R) Iris(R) Xe Graphics, LUID: 0x0000000000013502, Dedicated: 0.12 GB, Shared: 7.85 GB
[DXGI] Adapter Description: Microsoft Basic Render Driver, LUID: 0x00000000000137DE, Dedicated: 0.00 GB, Shared: 7.85 GB
Integrated GPU (Intel(R) Iris(R) Xe Graphics) with LUID 0x0000000000013502 detected. Shared Total: 8433055744.00 bytes (7.85 GB), Shared Usage: 6038458368.00 bytes (5.62 GB), Dedicated Total: 134217728.00 bytes (0.12 GB), Dedicated Usage: 0.00 bytes (0.00 GB)
ggml_backend_vk_get_device_memory utilizing DXGI + PDH memory reporting free: 2528815104 total: 8567273472
time=2026-03-12T21:48:42.270+01:00 level=INFO source=server.go:1384 msg="waiting for server to become available" status="llm server not responding"
ggml_vulkan: Memory allocation of size 6144 failed.
ggml_vulkan: vk::Device::allocateMemory: ErrorOutOfDeviceMemory
Exception 0xe06d7363 0x19930520 0xe24636efb8 0x7ffe1d79055c
PC=0x7ffe1d79055c
signal arrived during external code execution
runtime.cgocall(0x7ff6fdf10600, 0xc00038fb58)
runtime/cgocall.go:167 +0x3e fp=0xc00038fb30 sp=0xc00038fac8 pc=0x7ff6fd02243e
github.com/ollama/ollama/llama._Cfunc_llama_model_load_from_file(0x20dada5a720, {0xc000368a10, 0x0, 0x29, 0x1, 0x0, 0xc000334010, 0x7ff6fdf0fd00, 0xc000368a08, 0x0, ...})
_cgo_gotypes.go:902 +0x51 fp=0xc00038fb58 sp=0xc00038fb30 pc=0x7ff6fd4d4bb1
github.com/ollama/ollama/llama.LoadModelFromFile.func1(...)
github.com/ollama/ollama/llama/llama.go:308
github.com/ollama/ollama/llama.LoadModelFromFile({0xc0000aa0e0, 0x6b}, {{0xc000334018, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc000334010, 0x1, ...}, ...})
github.com/ollama/ollama/llama/llama.go:308 +0x57f fp=0xc00038fda0 sp=0xc00038fb58 pc=0x7ff6fd4d81df
github.com/ollama/ollama/runner/llamarunner.(*Server).loadModel(0xc000130280, {{0xc000334018, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc000334010, 0x1, 0x2}, ...}, ...)
github.com/ollama/ollama/runner/llamarunner/runner.go:841 +0x9e fp=0xc00038fee8 sp=0xc00038fda0 pc=0x7ff6fd58f3de
github.com/ollama/ollama/runner/llamarunner.(*Server).load.gowrap2()
github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x114 fp=0xc00038ffe0 sp=0xc00038fee8 pc=0x7ff6fd5906d4
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00038ffe8 sp=0xc00038ffe0 pc=0x7ff6fd02d9a1
created by github.com/ollama/ollama/runner/llamarunner.(*Server).load in goroutine 41
github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x889
goroutine 1 gp=0xc0000021c0 m=nil [IO wait]:
runtime.gopark(0x7ff6fd02f1a0?, 0x7ff6ff2642e0?, 0x20?, 0xa0?, 0xc00013a0cc?)
runtime/proc.go:435 +0xce fp=0xc000125630 sp=0xc000125610 pc=0x7ff6fd02598e
runtime.netpollblock(0x5bc?, 0xfcfc0406?, 0xf6?)
runtime/netpoll.go:575 +0xf7 fp=0xc000125668 sp=0xc000125630 pc=0x7ff6fcfebdf7
internal/poll.runtime_pollWait(0x20d62200e70, 0x72)
runtime/netpoll.go:351 +0x85 fp=0xc000125688 sp=0xc000125668 pc=0x7ff6fd024b25
internal/poll.(*pollDesc).wait(0x7ff6fd0ba953?, 0x0?, 0x0)
internal/poll/fd_poll_runtime.go:84 +0x27 fp=0xc0001256b0 sp=0xc000125688 pc=0x7ff6fd0bbf47
internal/poll.execIO(0xc00013a020, 0xc000125758)
internal/poll/fd_windows.go:177 +0x105 fp=0xc000125728 sp=0xc0001256b0 pc=0x7ff6fd0bd3a5
internal/poll.(*FD).acceptOne(0xc00013a008, 0x5c4, {0xc0001420f0?, 0xc0001257b8?, 0x7ff6fd0c5065?}, 0xc0001257ec?)
internal/poll/fd_windows.go:946 +0x65 fp=0xc000125788 sp=0xc000125728 pc=0x7ff6fd0c1925
internal/poll.(*FD).Accept(0xc00013a008, 0xc000125938)
internal/poll/fd_windows.go:980 +0x1b6 fp=0xc000125840 sp=0xc000125788 pc=0x7ff6fd0c1c56
net.(*netFD).accept(0xc00013a008)
net/fd_windows.go:182 +0x4b fp=0xc000125958 sp=0xc000125840 pc=0x7ff6fd13358b
net.(*TCPListener).accept(0xc0000a7600)
net/tcpsock_posix.go:159 +0x1b fp=0xc0001259a8 sp=0xc000125958 pc=0x7ff6fd149b3b
net.(*TCPListener).Accept(0xc0000a7600)
net/tcpsock.go:380 +0x30 fp=0xc0001259d8 sp=0xc0001259a8 pc=0x7ff6fd1488f0
net/http.(*onceCloseListener).Accept(0xc000140090?)
<autogenerated>:1 +0x24 fp=0xc0001259f0 sp=0xc0001259d8 pc=0x7ff6fd361fe4
net/http.(*Server).Serve(0xc0001de700, {0x7ff6fe79d5b0, 0xc0000a7600})
net/http/server.go:3424 +0x30c fp=0xc000125b20 sp=0xc0001259f0 pc=0x7ff6fd3398ac
github.com/ollama/ollama/runner/llamarunner.Execute({0xc0000c2020, 0x4, 0x6})
github.com/ollama/ollama/runner/llamarunner/runner.go:1002 +0x8f5 fp=0xc000125cf0 sp=0xc000125b20 pc=0x7ff6fd591095
github.com/ollama/ollama/runner.Execute({0xc0000c2010?, 0x0?, 0x0?})
github.com/ollama/ollama/runner/runner.go:25 +0x1a5 fp=0xc000125d30 sp=0xc000125cf0 pc=0x7ff6fd672e25
github.com/ollama/ollama/cmd.NewCLI.func3(0xc00063f200?, {0x7ff6fe5747ef?, 0x4?, 0x7ff6fe5747f3?})
github.com/ollama/ollama/cmd/cmd.go:2271 +0x45 fp=0xc000125d58 sp=0xc000125d30 pc=0x7ff6fde9ee65
github.com/spf13/cobra.(*Command).execute(0xc0002f5b08, {0xc00062b380, 0x4, 0x4})
github.com/spf13/[email protected]/command.go:940 +0x85c fp=0xc000125e78 sp=0xc000125d58 pc=0x7ff6fd1ae75c
github.com/spf13/cobra.(*Command).ExecuteC(0xc00068ef08)
github.com/spf13/[email protected]/command.go:1068 +0x3a5 fp=0xc000125f30 sp=0xc000125e78 pc=0x7ff6fd1aefa5
github.com/spf13/cobra.(*Command).Execute(...)
github.com/spf13/[email protected]/command.go:992
github.com/spf13/cobra.(*Command).ExecuteContext(...)
github.com/spf13/[email protected]/command.go:985
main.main()
github.com/ollama/ollama/main.go:12 +0x4d fp=0xc000125f50 sp=0xc000125f30 pc=0x7ff6fdea130d
runtime.main()
runtime/proc.go:283 +0x27d fp=0xc000125fe0 sp=0xc000125f50 pc=0x7ff6fcff4ddd
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000125fe8 sp=0xc000125fe0 pc=0x7ff6fd02d9a1
goroutine 2 gp=0xc0000028c0 m=nil [force gc (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00008dfa8 sp=0xc00008df88 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.forcegchelper()
runtime/proc.go:348 +0xb8 fp=0xc00008dfe0 sp=0xc00008dfa8 pc=0x7ff6fcff50f8
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00008dfe8 sp=0xc00008dfe0 pc=0x7ff6fd02d9a1
created by runtime.init.7 in goroutine 1
runtime/proc.go:336 +0x1a
goroutine 3 gp=0xc000002c40 m=nil [GC sweep wait]:
runtime.gopark(0x1?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00008ff80 sp=0xc00008ff60 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.bgsweep(0xc00009c000)
runtime/mgcsweep.go:316 +0xdf fp=0xc00008ffc8 sp=0xc00008ff80 pc=0x7ff6fcfddebf
runtime.gcenable.gowrap1()
runtime/mgc.go:204 +0x25 fp=0xc00008ffe0 sp=0xc00008ffc8 pc=0x7ff6fcfd2285
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00008ffe8 sp=0xc00008ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcenable in goroutine 1
runtime/mgc.go:204 +0x66
goroutine 4 gp=0xc000002e00 m=nil [GC scavenge wait]:
runtime.gopark(0x10000?, 0x7ff6fe787ac0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc0000a3f78 sp=0xc0000a3f58 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.(*scavengerState).park(0x7ff6ff28e080)
runtime/mgcscavenge.go:425 +0x49 fp=0xc0000a3fa8 sp=0xc0000a3f78 pc=0x7ff6fcfdb909
runtime.bgscavenge(0xc00009c000)
runtime/mgcscavenge.go:658 +0x59 fp=0xc0000a3fc8 sp=0xc0000a3fa8 pc=0x7ff6fcfdbe99
runtime.gcenable.gowrap2()
runtime/mgc.go:205 +0x25 fp=0xc0000a3fe0 sp=0xc0000a3fc8 pc=0x7ff6fcfd2225
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a3fe8 sp=0xc0000a3fe0 pc=0x7ff6fd02d9a1
created by runtime.gcenable in goroutine 1
runtime/mgc.go:205 +0xa5
goroutine 5 gp=0xc000003340 m=nil [finalizer wait]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc0000a5e30 sp=0xc0000a5e10 pc=0x7ff6fd02598e
runtime.runfinq()
runtime/mfinal.go:196 +0x107 fp=0xc0000a5fe0 sp=0xc0000a5e30 pc=0x7ff6fcfd1207
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a5fe8 sp=0xc0000a5fe0 pc=0x7ff6fd02d9a1
created by runtime.createfing in goroutine 1
runtime/mfinal.go:166 +0x3d
goroutine 6 gp=0xc000003dc0 m=nil [chan receive]:
runtime.gopark(0xc000213540?, 0xc000518018?, 0x60?, 0x1f?, 0x7ff6fd11c1a8?)
runtime/proc.go:435 +0xce fp=0xc000091f18 sp=0xc000091ef8 pc=0x7ff6fd02598e
runtime.chanrecv(0xc0000aa3f0, 0x0, 0x1)
runtime/chan.go:664 +0x445 fp=0xc000091f90 sp=0xc000091f18 pc=0x7ff6fcfc2d45
runtime.chanrecv1(0x7ff6fcff4f40?, 0xc000091f76?)
runtime/chan.go:506 +0x12 fp=0xc000091fb8 sp=0xc000091f90 pc=0x7ff6fcfc28d2
runtime.unique_runtime_registerUniqueMapCleanup.func2(...)
runtime/mgc.go:1796
runtime.unique_runtime_registerUniqueMapCleanup.gowrap1()
runtime/mgc.go:1799 +0x2f fp=0xc000091fe0 sp=0xc000091fb8 pc=0x7ff6fcfd54af
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000091fe8 sp=0xc000091fe0 pc=0x7ff6fd02d9a1
created by unique.runtime_registerUniqueMapCleanup in goroutine 1
runtime/mgc.go:1794 +0x85
goroutine 7 gp=0xc000268540 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00009ff38 sp=0xc00009ff18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00009ffc8 sp=0xc00009ff38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00009ffe0 sp=0xc00009ffc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00009ffe8 sp=0xc00009ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 8 gp=0xc000268700 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc0000a1f38 sp=0xc0000a1f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc0000a1fc8 sp=0xc0000a1f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc0000a1fe0 sp=0xc0000a1fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc0000a1fe8 sp=0xc0000a1fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 9 gp=0xc0002688c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000473f38 sp=0xc000473f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000473fc8 sp=0xc000473f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000473fe0 sp=0xc000473fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000473fe8 sp=0xc000473fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 10 gp=0xc000268a80 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000475f38 sp=0xc000475f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000475fc8 sp=0xc000475f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000475fe0 sp=0xc000475fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000475fe8 sp=0xc000475fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 18 gp=0xc000484000 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00046ff38 sp=0xc00046ff18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00046ffc8 sp=0xc00046ff38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00046ffe0 sp=0xc00046ffc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00046ffe8 sp=0xc00046ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 34 gp=0xc0001061c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000113f38 sp=0xc000113f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000113fc8 sp=0xc000113f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000113fe0 sp=0xc000113fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000113fe8 sp=0xc000113fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 19 gp=0xc0004841c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000471f38 sp=0xc000471f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000471fc8 sp=0xc000471f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000471fe0 sp=0xc000471fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000471fe8 sp=0xc000471fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 11 gp=0xc000268c40 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00010ff38 sp=0xc00010ff18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00010ffc8 sp=0xc00010ff38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00010ffe0 sp=0xc00010ffc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00010ffe8 sp=0xc00010ffe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 12 gp=0xc000268e00 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000111f38 sp=0xc000111f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000111fc8 sp=0xc000111f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000111fe0 sp=0xc000111fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000111fe8 sp=0xc000111fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 13 gp=0xc000268fc0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00047bf38 sp=0xc00047bf18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00047bfc8 sp=0xc00047bf38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00047bfe0 sp=0xc00047bfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00047bfe8 sp=0xc00047bfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 20 gp=0xc000484380 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000477f38 sp=0xc000477f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000477fc8 sp=0xc000477f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000477fe0 sp=0xc000477fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000477fe8 sp=0xc000477fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 35 gp=0xc000106380 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000115f38 sp=0xc000115f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000115fc8 sp=0xc000115f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000115fe0 sp=0xc000115fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000115fe8 sp=0xc000115fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 36 gp=0xc000106540 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00011bf38 sp=0xc00011bf18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00011bfc8 sp=0xc00011bf38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00011bfe0 sp=0xc00011bfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00011bfe8 sp=0xc00011bfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 37 gp=0xc000106700 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00011df38 sp=0xc00011df18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00011dfc8 sp=0xc00011df38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00011dfe0 sp=0xc00011dfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00011dfe8 sp=0xc00011dfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 38 gp=0xc0001068c0 m=nil [GC worker (idle)]:
runtime.gopark(0x0?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000117f38 sp=0xc000117f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000117fc8 sp=0xc000117f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000117fe0 sp=0xc000117fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000117fe8 sp=0xc000117fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 39 gp=0xc000106a80 m=nil [GC worker (idle)]:
runtime.gopark(0x2d24f5154b30?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000119f38 sp=0xc000119f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000119fc8 sp=0xc000119f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000119fe0 sp=0xc000119fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000119fe8 sp=0xc000119fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 21 gp=0xc000484540 m=nil [GC worker (idle)]:
runtime.gopark(0x2d24f5154b30?, 0x0?, 0x0?, 0x0?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000479f38 sp=0xc000479f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000479fc8 sp=0xc000479f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000479fe0 sp=0xc000479fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000479fe8 sp=0xc000479fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 14 gp=0xc000269180 m=nil [GC worker (idle)]:
runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc00047df38 sp=0xc00047df18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc00047dfc8 sp=0xc00047df38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc00047dfe0 sp=0xc00047dfc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc00047dfe8 sp=0xc00047dfe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 15 gp=0xc000269340 m=nil [GC worker (idle)]:
runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000505f38 sp=0xc000505f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000505fc8 sp=0xc000505f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000505fe0 sp=0xc000505fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000505fe8 sp=0xc000505fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 16 gp=0xc000269500 m=nil [GC worker (idle)]:
runtime.gopark(0x7ff6ff2e10e0?, 0x1?, 0x18?, 0x30?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000507f38 sp=0xc000507f18 pc=0x7ff6fd02598e
runtime.gcBgMarkWorker(0xc0000ab810)
runtime/mgc.go:1423 +0xe9 fp=0xc000507fc8 sp=0xc000507f38 pc=0x7ff6fcfd47a9
runtime.gcBgMarkStartWorkers.gowrap1()
runtime/mgc.go:1339 +0x25 fp=0xc000507fe0 sp=0xc000507fc8 pc=0x7ff6fcfd4685
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000507fe8 sp=0xc000507fe0 pc=0x7ff6fd02d9a1
created by runtime.gcBgMarkStartWorkers in goroutine 1
runtime/mgc.go:1339 +0x105
goroutine 40 gp=0xc000484700 m=nil [sync.WaitGroup.Wait]:
runtime.gopark(0x0?, 0x0?, 0x60?, 0xfe?, 0x0?)
runtime/proc.go:435 +0xce fp=0xc000501e20 sp=0xc000501e00 pc=0x7ff6fd02598e
runtime.goparkunlock(...)
runtime/proc.go:441
runtime.semacquire1(0xc0001302a0, 0x0, 0x1, 0x0, 0x18)
runtime/sema.go:188 +0x22f fp=0xc000501e88 sp=0xc000501e20 pc=0x7ff6fd00750f
sync.runtime_SemacquireWaitGroup(0x0?)
runtime/sema.go:110 +0x25 fp=0xc000501ec0 sp=0xc000501e88 pc=0x7ff6fd026f85
sync.(*WaitGroup).Wait(0x0?)
sync/waitgroup.go:118 +0x48 fp=0xc000501ee8 sp=0xc000501ec0 pc=0x7ff6fd03b988
github.com/ollama/ollama/runner/llamarunner.(*Server).run(0xc000130280, {0x7ff6fe79fed0, 0xc0001340f0})
github.com/ollama/ollama/runner/llamarunner/runner.go:360 +0x4b fp=0xc000501fb8 sp=0xc000501ee8 pc=0x7ff6fd58bdab
github.com/ollama/ollama/runner/llamarunner.Execute.gowrap1()
github.com/ollama/ollama/runner/llamarunner/runner.go:981 +0x28 fp=0xc000501fe0 sp=0xc000501fb8 pc=0x7ff6fd591308
runtime.goexit({})
runtime/asm_amd64.s:1700 +0x1 fp=0xc000501fe8 sp=0xc000501fe0 pc=0x7ff6fd02d9a1
created by github.com/ollama/ollama/runner/llamarunner.Execute in goroutine 1
github.com/ollama/ollama/runner/llamarunner/runner.go:981 +0x4c5
rax 0x0
rbx 0x7ffd0d923c60
rcx 0x7ffd0d907da0
rdx 0x7ffd0a8ca55c
rdi 0x19930520
rsi 0xe24636efb8
rbp 0xe24636ef70
rsp 0xe24636a0f0
r8 0x0
r9 0x0
r10 0xfffffffffffffffe
r11 0x0
r12 0xe24636a310
r13 0x0
r14 0xe24636b198
r15 0x0
rip 0x7ffe1d79055c
rflags 0x202
cs 0x33
fs 0x53
gs 0x2bOS
Windows
GPU
Intel
CPU
Intel
Ollama version
0.17.7
extent analysis
Fix Plan
The issue seems to be related to the GPU memory allocation. To fix this, we can try the following steps:
- Reduce model size: Try reducing the model size to see if it can fit into the GPU memory.
- Increase GPU memory: If possible, try increasing the GPU memory to accommodate the model.
- Use model pruning: Use model pruning techniques to reduce the model size while maintaining its performance.
- Use a different GPU: If the issue persists, try using a different GPU with more memory.
Here are some code changes that can be made to reduce the model size:
# Reduce the number of layers
num_layers = 20 # instead of 40
# Reduce the embedding dimension
embedding_dim = 512 # instead of 1536
# Reduce the feed forward dimension
feed_forward_dim = 256 # instead of 512Verification
To verify that the fix worked, we can check the GPU memory usage after making the changes. We can use tools like nvidia-smi to monitor the GPU memory usage.
nvidia-smiWe can also check the model performance after making the changes to ensure that it is still working as expected.
Extra Tips
- Make sure to monitor the GPU memory usage regularly to avoid running out of memory.
- Consider using a more efficient model architecture that requires less memory.
- If the issue persists, try reducing the batch size or sequence length to reduce the memory requirements.
Vote matrix · Quick signals
Still need to ship something?
×6Another batch ranked right after the header list — different links, same matching logic.
TRENDING
- Feature Request: Configurable per-minute rate limiting (RPM) for models to prevent 429 errors
- Android: Hermes App + Termux install share ~/.hermes and cause silent permission loops
- hermes update emits unicode-animations ANSI demo in non-interactive logs
- hermes update downgrades aiohttp from 3.13.4 to 3.13.3
- npm install warns about deprecated @babel/plugin-proposal-private-methods
- DingTalk inbound media URLs are skipped as unreadable native image paths
- fix(dashboard): ChatPage clears header action buttons on ALL pages, not just Sessions
- [Bug]: check_web_api_key() hardcodes built-in backends — third-party web search plugins silently disabled
- Hermes Web UI 修复经验：GatewayManager 补丁、进程 D 状态、数据库升级问题
- Telegram gateway can silently drop turn after /stop with response=0 chars while internal work continues
- Bug Report: v0.14.0 上下文污染 — 历史回复碎片回注到新请求
- Bug: hermes skills search table truncates Identifier column — install fails with copied value
- [skills-index-watchdog] Skills index is stale or degraded (degraded)
- Discord approval embed not rendering on web/mobile — embed data present in API but invisible
- Idea: Discord voice-channel participation / opt-in auto-join mode
- [Feature]: Claude Code--ultrawork
- build-arm64 job deterministically fails on cold cache (Azure SAS token expires mid-build)
- [Enhancement] computer_use: action=type should fall back to key events for terminal emulators (Ghostty/Terminal.app/iTerm2)
- Feature Request: Session Recovery on Temporary Provider Outage
- [Bug]: Hermes dashboard not working on NixOS (container)
- [Feature]: Add option to ignore @all/@everyone mentions in Feishu group chats
- QQ Bot WebSocket 频繁断开：长时间工具执行阻塞 asyncio 事件循环导致心跳超时
- patch tool: new_string escape sequences (\t) get written literally
- Feature Request: i18n / 多语言支持（国际化）
- Bug: web_crawl schema lets models auto-guess "instructions" instead of asking the user via clarify
- feat: `!command` prefix for direct shell execution (like Claude Code)
- Expose currently-running cron jobs via /api/jobs (or new endpoint)
- [Bug]: Kanban parent-child handoff: scratch workspace GC destroys artifacts before child can read them
- [Bug, Windows] hermes gateway restart loses session context — planned_stop_marker not written before SIGTERM
- [Bug]: Codex→DeepSeek fallback sends assistant turns without reasoning_content → HTTP 400 (require-side cross-provider failover)
- [Bug]: Update got stuck half way, reboot it, then ModuleNotFoundError: No module named 'hermes_cli'
- Kanban dispatcher corrupt-board handling and multi-profile gateway ownership ambiguity
- Gateway can resend a short fallback message when the real final Telegram response was already delivered
- [BUG] Bedrock: Fix 'Invalid API Key format' for presigned URL tokens
- Secret redaction corrupts code syntax in tool output (write_file, execute_code, terminal)
- Unable to connect Ollama Cloud with Pro Subscription to Hermes
- feat: fuzzy substring matching for /skill autocomplete
- PRD: Autonomous market-impact prediction briefing system
- Kanban dashboard should support task/card deep links
- [Feature] Native Feishu CardKit Streaming: consolidate best-in-class implementations
- [Feature]: Inject mental model into context when using Hindsight
- Interactive CLI hides tool output despite display.tool_progress=all, and hermes chat -v does not restore it
- fix(api_server): _handle_responses drops text.format JSON schema — structured output constraints silently ignored
- state.db FTS corruption goes undetected — no integrity check, no repair path
- bug: fallback routing can select text-only models for image requests and hide the primary failure
- feat(kanban): persist worker session_id per run and pass --resume on respawn after unblock
- feat(kanban): support GitHub/OMO lifecycle bridge for Xiyou-style automation
- Expose update-safe TUI/composer hooks for voice transcript and composer events
- Hide or configure voice transcript status rows in editable dictation mode
- [Feature]: Per-Tool / Per-Toolset Approval Policies
- Context compression creates orphan sessions missing from state.db
- messaging platform
- feat: Add read-only / silent monitoring mode for WhatsApp adapter
- double-.hermes path mismatch, the HOME env var leak, and the fallback-notification UX problem
- Bug: Plattform-Bundle name `hermes-yuanbao` in `agent.disabled_toolsets` silently kills ALL tools in gateway path (Telegram + cron), CLI unaffected
- CLI /yolo (in-chat) does not bypass dangerous command approvals — env var freeze + missing enable_session_yolo call
- OpenAI Codex provider crashes with "'NoneType' object is not iterable" (HTTP None)
- DEEPSEEK_API_KEY blocked by env blocklist in gateway process — cron jobs fail with deepseek provider
- fix(feishu): Card action callback routing issues - invalid message_id and unrecognized /card command
- Discord plugin: profiles without explicit `discord:` block silently get `require_mention=true` + `auto_thread=true` (regression in cc8e5ec2a)
- [Bug]: DISCORD_ALLOWED_ROLES ignored by gateway _is_user_authorized — role-authorized users get 'Unauthorized user' rejection
- [Bug]: /new, /clear, and /reset commands freeze the terminal session
- openai-codex subscription backend returns HTTP 200 with response.output=None, causing Slack/cron failures
- RFC: Centralized Model/Provider Registry
- bug: openai-codex provider — TypeError: 'NoneType' object is not iterable on every request (gpt-5.5)
- [Feature]: Source-aware instruction gate — architectural mitigation for indirect prompt injection
- Named custom provider stale_timeout_seconds ignored because runtime provider is normalized to `custom`
- guard test (ignore)
- [Feature]: per-platform LLM request_overrides (extra_body / reasoning_effort / service_tier)
- One-shot smoke: add Flue-backed orchestration fixture
- Gateway should not treat stale Codex app-server progress as final response after post-tool silence
- `docker_run_as_host_user: true` breaks bundled skills: Hermes home is mounted into `/root/.hermes` but the container runs as a non-root user (`HOME=/home/pn`)
- [Bug]: gateway api_server streaming bypasses server-side tool-call loop when chat_template_kwargs.enable_thinking=false (model emits tool name as plain text)
- [Feature]: Pre-install python-telegram-bot in Umbrel Hermes Docker image
- YouTube Shorts filter not working in youtube-content skill
- v0.15.0 PyPI release breaks ALL platforms — plugin.yaml manifests missing from package
- RFC: On-demand tool/skill/MCP discovery — decouple schema registration from process lifecycle
- Pixshelf: local-first stock photo workflow command center
- [Bug]: baoyu infographic skill should not silently bypass image_generate
- Pixshelf v1.5: manual submission tracking for stock agencies
- `hermes config set` silently accepts unknown keys, writing them where the runtime never reads
- Honcho memory prefetch hang on fresh CLI subprocess in v0.15.0 (regression from #27190)
- [Bug] v0.15.0 Docker image: stage2-hook.sh, main-wrapper.sh missing; container_boot module removed
- Feature: Reduce cache-read token overhead for DeepSeek providers — configurable cache_ttl, skills snapshot trimming, memory compaction
- Windows: three bugs from daily use (plugin discovery, gateway exit code, Unicode decode
- holographic memory: HRR silently degrades to FTS5 when numpy is missing
- Make max_tokens configurable for aux vision calls
- Conversation compression desynchronizes session ID between agent context and gateway routing, causing silent message loss
- [Bug]: v0.15.0 Docker image:The TUI cannot be used in the dashboard.
- cron: skip_memory=True blocks fact_store/memory tools from all cron jobs
- TUI: Node.js OOM crash when agent uses browser tools repeatedly
- feat: model_profiles — per-model toolset and memory config
- Automatic background skill patching disrupts active sessions (severe impact on local models)
- ensure_hermes_home() creates root-owned dirs in profile subdirectories when kanban workers are dispatched
- Feature: opt-in webhook bypass for DISCORD_ALLOW_BOTS — allow operator-initiated probes without weakening bot-loop guard
- v0.15.0: Codex requests fail HTTP 400 when participant display_name contains non-ASCII (emoji breaks input[].name pattern)
- Architecture: State Persistence Precedence (Memory vs Skills vs Hooks)
- [Bug]: cronjob tool: create action always fails with "schedule is required for create" even when parameters are provided
- codex-oauth: 'NoneType' object is not iterable in _run_codex_stream (gpt-5.5) — every turn fails non-retryably
- Docs/Config: Plugin local scope enablement ambiguity
- [Bug]: CLI freezes after using /new command (WSL)
- Profile Codex auth can ignore global credential pool when local state is stale
- [workflow-engine] CRITICAL: variable substitution crashes on regex metachars in user input
- [workflow-engine] HIGH: loop and bash nodes leak subprocesses on timeout
- [workflow-engine] HIGH: README documents config env vars the engine never reads
- [workflow-engine] MEDIUM: workflow_run rate limit bypassable via concurrent calls (TOCTOU)
- [workflow-engine] chore: manifest gaps, side-effectful register(), dead code, unauth kanban dispatch
- [mcp_lazy] HIGH: synthetic mcp_server_<name> stub collides with a real MCP server named 'server'
- [mcp_lazy] HIGH: promote_server eager flag documented but never persisted
- [mcp_lazy] MEDIUM: _prev_mode dict leaks and goes stale; not cleared on session evict
- [mcp_lazy] MEDIUM: get_pool has unlocked check-then-set race on pool creation
- [mcp_lazy] MEDIUM: pre_tool_call gives no guidance for unpromoted server-stub calls
- [mcp_lazy] chore: undeclared pre_tool_call hook, nonexistent 'mcp_load_tools' name in docs, missing tests
- [a2a_fleet] CRITICAL: server never auto-starts — register() runs outside an event loop
- [a2a_fleet] CRITICAL: auth_required defaults to false on a cross-machine surface
- [a2a_fleet] HIGH: remove invented disable() hook — loader never calls it, port leaks on reload
- [a2a_fleet] HIGH: plugin.yaml missing kind / provides_tools / requires_env (token env undeclared)
- [a2a_fleet] MEDIUM: tighten wide-open CORS, anonymous /health peer leak, and peer-URL SSRF
- [a2a_fleet] MEDIUM: relocate tests to tests/plugins/ and cover sync-register + auth-default paths
- xai-oauth auxiliary client incorrectly uses Responses API (CodexAuxiliaryClient), causing 403 on compression/vision/web_extract
- [Bug]: Direct Copilot gpt-5.5 large resumes are killed by 12s Codex TTFB watchdog
- [Bug]: `hermes uninstall` does not work on Windows
- TUI: Thinking block leaks raw JSON and Σ character
- Hostinger VPS: migration Hermes Agent → Hermes WebUI impossible (tini + UID mismatch + sessions)
- /goal judge over-continues exploratory goals unless the assistant explicitly says the goal is complete
- /goal auto-continuation can be amplified by preflight compression/session split and resurrect stale task state
- Dashboard infinite reload loop in loopback mode — GET /api/auth/me returns 401 on every page load
- [Bug]: Provider/LLM switch leaves stale encrypted_content causing 400 errors on Telegram sessions
- [Bug]: Infinite reload loop / React state loop on Sessions tab (Firefox + Chrome) — repeated 401 on /api/auth/me (v0.15.0)
- show_reasoning should work independently of streaming in CLI mode
- Feature Request: Strip reasoning/<think> blocks from TTS preprocessing
- mcp add / mcp test raise NameError when mcp package not installed
- v0.14.0 dashboard breaks behind reverse proxies — two regressions
- Skills hub creates empty category directories when no skills installed
- [Bug]: Custom endpoint: ChatCompletions returns content, but Hermes treats response as empty (v0.14.0)
- fix: atomic_replace() fails with EXDEV when HERMES_HOME is a cross-filesystem symlink
- fix(gateway): Feishu session cancellation orphans session guard, permanently blocking messages
- Custom endpoint pricing can overestimate Crof qwen3.5-9b cost by 1,000,000x
- MCP OAuth callback: module-level port global causes port collisions and structural weaknesses vs upstream
- Bug: send_message tool bypasses validate_media_delivery_path security check
- Proposal: Add Mnemosyne to official memory provider documentation
- feat(swarm): support custom verifier/synthesizer body + skills
- Template conversion failed
- Error occurred in the operation of the agent node in the workflow.
- PubSub client overrides Sentinel client when REDIS_USE_SENTINEL is enabled
- Frontend description of the Retrieval node output does not match the actual output
- JSON type input var raise Intenal server error
- cannot extract elements from a scalar
- 负载均衡 为模型配置多组凭据，并自动调用，此功能无法选择
- add models is error
- panic: could not create filter
- Persist partially generated messages when /chat-messages/:task_id/stop is called
- MCP server connection fails with 403 — request never leaves Dify (SSRF proxy suspected)
- Support durable async execution backends for long-running workflow steps
- [Xiaomi MiMo] Credentials validation fails with 400 "Not supported model mimo-v2-flash" when using Token Plan endpoint (v0.0.7)
- After clicking preview on a parent-child segmented knowledge base, it shows 0 chunks
- Retrieval score differs between UI upload (.docx) and API upload (.txt) despite identical chunk content and embedding model
- gemini cli crash again
- Xbox gift card code damage
- Damage caused by the gemini cli crash
- ioctl(2) failed, EBADF (Bad File Descriptor)
- Feat: Support Bun as an alternative runtime/package manager for updates and extensions
- fatal error again!!!!
- ioctl error
- Critical Crash: ioctl(2) failed, EBADF in ShellExecutionService.resizePty
- ioctl(2) failed, EBADF
- v0.44.0 Regression: Critical crash with ioctl(2) failed, EBADF during PTY resize
- Crash on startup: ioctl(2) failed, EBADF in UnixTerminal.resize
- Crash: `ioctl(2) failed, EBADF` in `node-pty` during PTY resize on macOS
- Gemini CLI crashes with `ioctl(2) failed, EBADF` in `node-pty` during `resizePty`
- Remote Role
- ERROR ioctl(2) failed, EBADF /home/mich
- RangeError: Maximum call stack size exceeded
- EBADF Error during folder creationg broke session and terminal glitches
- MAIP / Gargoub Project - Mediterania - North Coast
- Gemini cli crash again in this morning
- ERROR ioctl(2) failed, EBADF
- Verified node install fails — Checksum verification failed (Cloud)
- The extended debugging key did not arrive during registration.
- CollaborationPane unmounts collaboration store on single-user instances, causing permanent "No network connection" state
- Workflow cannot be saved when the name contains "->" (Potentially malicious string)
- automation does not work and does not show an error
- Raj Ai Automation
- Default Data Loader: DOMMatrix is not defined error
- Feature: Per-node execution timestamp overlay on canvas during workflow run
- AI Agent + Vertex `gemini-3.5-flash`: 400 "missing thought_signature" on sequential multi-turn tool calls (post-#24982)
- PDF Loader in Pinecone Vector Store fails due to pdf-parse version conflict (v2 not supported)
- emailReadImap: add UID deduplication, batch size cap, and numeric uid enforcement
- Manual node execution fails with "Could not find a node" when autosave is disabled (N8N_WORKFLOWS_AUTOSAVE_DISABLED)
- Schedule Trigger stopped firing — workflow Published & active, manual executions succeed, no automated fires for 2+ hours
- [MCP SDK] create_workflow_from_code intermittently returns HTTP 500, often as a false negative (workflow persists anyway, causing duplicates on retry)
- Credential-load wedge: workflows using googleApi/jwtAuth credentials silently fail to execute after key rotation
- Google Sheets Trigger every minute is not working manual Execute is working sent email
- [BUG] Plugin marketplace MCP connector remains stuck "still connecting" when mcp-remote requires OAuth
- [redacted at user request]
- Opus 4.7 behavioral regression: loaded instruction-following discipline degraded in recent Claude Code/Cowork updates
- [BUG] Tailscale via Homebrew CLI + Mac App Store GUI, both Macs on macOS, Cowork blocked by VPN detector despite Tailscale being a mesh VPN with no traffic interception
- stopShellPty on tab switch kills active sessions (exit 143) — regression in May 27 build
- [BUG] Long URLs are broken into multiple lines and become unclickable in terminal output
- [BUG] claude rm/stop/reap SIGKILLs background session tree without SIGTERM grace, orphaning git index.lock and similar
- [BUG] Default git workflow in the system prompt was pushed without context or consent
- [MODEL] Inconsistent output quality / Ignoring instructions (overfitting and inappropriate repetition of Korean vocabulary)
- You've hit your weekly limit · resets May 31 at 5pm (Asia/Shanghai)
- Paid yearly subscription silently downgraded to Free with no user action
- [Regression v2.1.153] Plugin bash hooks fail with "echo: write error: Permission denied" on Windows (claude-mem, shell: "bash")
- [BUG] Connector toggles in conversation are not clickable — must click text label instead
- [remote-control] Input from mobile app/browser not reaching host session — output works fine
- Model fails to read/reference CLAUDE.md contents despite being loaded in context
- [BUG] Claude Desktop reinstall destroys Code chat history (transcripts + Recents) while regular Chat history, project files, and memory all survive
- Bypass mode clamps to Accept Edits even with the toggle ON (Claude Code Desktop 1.9255.2 / CC 2.1.149)
- [BUG] TUI input freezes randomly mid-typing — entire prompt becomes unresponsive for minutes
- [BUG] Cowork downloads Linux ELF binary instead of macOS binary on macOS Sonoma 14.8.7 — exit code 132 (SIGILL) on every session
- [Feature Request] Persistent project memory — sessions forget everything on close, forcing users to keep many sessions open
- [Bug] Thread context stale after sleep/resume, returns outdated date and calendar data
- [FEATURE] Add context window usage indicator and warning before auto-compaction
- [BUG] Dictation error: Invalid character in header content ["x-config-keyterms"] on Windows
- [Bug] Anthropic API Error: Server rate limiting despite normal usage
- Does delegating work to `claude -p` subprocesses reduce context accumulation in the parent session?
- [BUG] Claude Code hangs on M1 Mac when terminal says "opening browser to sign in" and browser opens
- [BUG] Claude_Preview MCP preview_start spawns dev server with main-repo cwd instead of session's worktree cwd
- [Bug] Anthropic API Error: Server rate limiting during request execution
- [Bug] Anthropic API Error: Server rate limiting on concurrent requests
- [Bug] Ultraplan ready notification fires before cloud agent completes execution
- [BUG] API 500 ERROR ALL THROUGHOUT THE DAY
- [BUG] Cowork: Live Artifacts folder path changed in 1.9255.2, no automatic migration from Documents\Claude\Artifacts
- [Bug] Auto-compact never triggers despite statusline reporting "100% context used" (v2.1.153, Max sub, 200K mode)
- [BUG] [Desktop / macOS] 'Open in → New Window' detached session: font renders smaller than main, no per-window controls, Cmd+/Cmd- keystrokes routed to main window instead
- Feature request: option to switch between classic and new minimal UI
- [Feature Request] Show timestamps for each message
- [BUG] Terminal corruption when permission prompt appears while navigating Agent Teams agent selection menu
- [FEATURE] Allow users to customize the background color of the Claude desktop app beyond the current light/dark theme presets.
- [BUG] Statusline not displaying on Windows [fixed]
- Background agent UI Stop button is a no-op for stuck agents — process keeps consuming tokens
- Background agents silently die on session pause/resume — no completion notification, no work recovery
- Add option to hide email address from welcome banner
- [BUG] SSH Remote: `projects` field in remote ~/.claude.json becomes null after desktop restart — jsonl files intact, UI shows 'No messages yet' for every session
- [Bug] Claude Code not applying fixes despite claiming to complete tasks
- billing is unfair and poorly documented
- [BUG] Claude Code on the web: declared plugins inactive on first session, require restart to fully load
- [BUG] Restore from archive deleted sessions instead of restoring them
- [BUG] M365 connector fails with AADSTS50011 in Cowork — localhost vs 127.0.0.1 redirect URI mismatch
- claude agents: workflow slash-commands missing from dispatch-input completion (regression-adjacent to #61424)
- Claude Desktop's Info.plist missing TCC usage strings, blocks all EventKit-based MCP servers
- False-positive safety blocks on self-administered governance amendments — request for owner-authority mode for verified professional users
- [BUG] Stop pushing "AUTO"-mode
- [DOCS] Plugin marketplace guide omits `skipLfs` option for git-based sources
- [DOCS] MCP docs omit combined startup notification for MCP server and connector authentication
- [DOCS] Agent view docs omit macOS Privacy & Security identity for background agents
- [DOCS] Npm update docs do not explain release-channel behavior for `claude update`
- [DOCS] Agent SDK docs omit `subagent_type: "claude"` worktree and output persistence behavior
- [DOCS] Background session docs omit `$CLAUDE_JOB_DIR` temp-file behavior
- [FR] mask env-var values in 'claude mcp get <server>' output
- [FR] subagent worktrees should not inherit stale local 'user.email' from prior dispatches
- [BUG] Windows: Grep tool leaks rg.exe + conhost.exe processes (~2000 zombies / 14 GB RAM in long sessions)
- [BUG] Stats dashboard "Peak hour" appears off by one hour
- [BUG] Diff highlight (teal SGR background) bleeds past changed text in 2.1.150–2.1.153
- [FEATURE] confirm before deleting session
- Plugin PostToolUse hooks still silently skip in Claude Desktop / Cowork (re-filing closed #51904)
- /code-review skill: silent fallback to main...HEAD reviews other people's commits, and JSON-only output is hard to read
- Monitor tool doesn't source the shell snapshot like Bash does; PATH-dependent tools (jq, sleep, etc.) fail in Monitor commands on macOS/Nix
- [Bug] Long input lines truncated with ellipsis while typing instead of wrapping in terminal UI
- [FEATURE] VS Code extension: Render submitted user messages as Markdown in chat
- OSC 52 copy from Claude TUI doesn't reach clipboard inside tmux (regression in 2.1.146–2.1.153)
- [BUG] RemoteTrigger create/update returns HTTP 400 with circular error: "event_type is required" / "unknown field event_type"
- [BUG] Option to hide or minimize the built-in "status footer" (multi-line debug/cost panel) [re-raise of #31475]
- [Bug] Feedback submissions being closed without review or action
- [FEATURE] Word-jump cursor navigation in Chat input (option+arrow / bindable actions)
- [FEATURE] ! shell mode: filesystem tab completion
- [BUG] API Error: Usage credits required for 1M context
- claude agents: OSC 52 clipboard emission broken in tmux (regression in 2.1.146–2.1.153)
- CLI crashes on macOS 15 M3 - exit code 1
- [FEATURE] Support Cmd+V image paste from clipboard
- [FEATURE] Enhance claude.ai M365 connector to support MS Planner
- [BUG] Slash command autocomplete hijacks pasted absolute file paths starting with /
- PreToolUse hook `if` filter false-positives on complex Bash commands
- [BUG] Diff panel hangs/whites out
- Feature Request: Support drag-and-drop for binary documents (.wps, .doc, .docx, .xlsx, .pdf) in VS Code extension
- [BUG] activation of 1M context in VSCode
- [FEATURE] Support i18n / language localization for built-in slash command outputs
- Ctrl+V para colar imagens deixou de funcionar no CLI (Windows, PowerShell)
- [FEATURE] Please add Norwegian (Bokmål/Nynorsk) language support to the Claude Code interface
- [BUG] OTel log events (claude_code.user_prompt, api_request_body, tool_decision, hook_execution_complete) emitted with empty trace_id/span_id while sibling spans correlate correctly
- [BUG] Cowork crashes on every message, no VM logs generated, missing AppData\Roaming\Claude
- [FEATURE] first-class session handoff + per-session token budgets for unattended runs
- [FEATURE] Smart paste: convert clipboard code to file reference chips (like Cursor)
- [Feature Request] Restore chat pin functionality to title chat submenu
- [BUG] SIGILL issues with version 2.1.153
- [BUG] Cowork plugin upload fails with generic "Plugin validation failed" when a `description` field in any SKILL.md frontmatter contains angle brackets (`<…>`)
- [BUG] Desktop App 2.1.144+: startup scanner deletes cliSessionId from claude-code-sessions local files on every launch — session not found on disk
- [Feature Request] Add keyboard shortcut to copy last message with proper formatting
- [MODEL] Opus 4.7 not 1M
- Allow naming/renaming background agents in `claude agents` view
- Stale worktrees in .claude/worktrees/ are never cleaned up, consuming massive disk space
- Agent worktrees are never cleaned up, silently consuming disk space
- Subagent worktrees not auto-cleaned when reviewer writes scratch files
- [Bug] Skill initialization hangs for extended duration in Plan Mode
- Claude Desktop writes malformed registry Run entry (nested escaped quotes) - crashes Windows Task Manager and other Run-key parsers
- IME candidate window shows at bottom-right corner instead of caret position (Windows CMD)
- [BUG] Pressing 'Escape' doesn't close the /BTW conversation when the main conversation is asking for approval
- [BUG] Opus 4.7 (1M) intermittently emits empty-string values for tool_use.input fields, killing the session
- FleetView agent UI shows "running" with incrementing elapsed time after agent has returned
- /doctor flags context-scoped cmd+c binding as macOS conflict (false positive)
- [BUG] Text Rendering in Elvish
- Desktop app: Bypass Permissions mode flips to Accept Edits on first prompt (M5 / macOS 26.5)
- [Workaround] Date-Weekday Verification Hook — Prevents Claude from writing wrong weekdays
- [BUG] Claude Code create c:/memfs directory without asking me.
- [BUG] Claude Code's Bash execution waits forever with no processes running
- [BUG] usage stays stuck waiting for 5 hr limit after upgrading to premium seat in team plan
- [Workflow tool] resume cache is unreachable for nontrivial workflows because LLM dispatchers can't transcribe args byte-exactly
- Code review (Preview): "Add a repository" shows no results for private GitHub org repos
- [BUG] /context commands blows up context
- [Feature Request] Add precache expiry hook to enable proactive compaction before token eviction
- [BUG] Context indicator shows 0% at session start despite ~20K+ tokens already loaded
- [Feature Request] Add semantic search for --resume session history
- [Feature Request] Add session search, tagging, and filtering capabilities
- [BUG] Cowork Dispatch reports "desktop not available" on Windows 11 while standard Cowork works normally
- [Bug] Claude Code provides incorrect suggestions with high confidence despite errors
- defaultMode: acceptEdits silently overrides per-path permissions.ask rules for Write/Edit
- [FEATUR configurable tip interval (e.g. tipIntervalSeconds: 30 in settings)E]
- Plugin marketplace fails to load: schema rejects 'displayName' key (v2.1.153)
- claude agents: in-session copy uses broken OSC 52 path while overview correctly uses tmux buffer
- [BUG] Plugin agent descriptions (and custom agents) load unconditionally into context — no parity with disable-model-invocation for skills
- Crashed ultrareview consumed a free credit despite producing zero findings
- [Bug] Character rendering issue - invisible or missing text display
- [BUG] Cowork: processo Claude Code encerra com código 3 — .claude.json não contém token de autenticação (Windows 11 25H2)
- [BUG] 2.1.153 silently discards tools/list response from rmcp 0.12.0 HTTP MCP server (works in 2.1.152, wire-identical handshake)
- VS Code extension: option to auto-resume last session when reopening a workspace folder
- [Bug] Conversation continuation failure
- [BUG] Cowork crashes every time I start a new chat or attempt to continue an existing one in any project. The error displayed is: "Claude Code è andato in crash
- [Bug] Unannounced quota changes
- Native update/install fails with 'socket connection was closed unexpectedly' behind proxy — undici TLS incompatibility
- [BUG] Session name reverting after manual change
- [BUG] 非正常思考，上下文过长时，一直显示思考，点击interrupt按钮失效
- Honor `tools:` frontmatter when an agent is invoked via `@mention` — strip `Task` only when the agent did not declare it
- macOS TCC popup still recurring on v2.1.153 — "2.1.153" would like to access data from other apps
- Claude Code leaks pty handles — exhausts pseudo-terminals on macOS after long session
- [Bug] Agent fails to execute or respond to user input
- [BUG] Persistent "Expecting value: line 1 column 1 (char 0)" JSON parse error after tool execution
- [Feature Request] Implement proactive unit test coverage recommendations for recurring bugs
- VS Code panel lacks status line + terminal lacks image paste in Codespaces, forcing a tradeoff
- `/powerup` only shows ~10 lessons — allow viewing the full catalog
- [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin
- [Bug] VSCode terminal output displays corrupted text with garbled symbols
- [Feature Request] Add LaTeX/KaTeX math rendering to TUI
- [Bug] Sub-agent PR review results not validated by orchestrating agent
- Subagents on Pro 1M tier: trivial probes pass, real workloads fail at first tool call (probe-vs-workload divergence)
- Path-scoped rules and subdirectory CLAUDE.md not loaded when creating new files matching the pattern
- AskUserQuestion: cancelling during extended thinking poisons the whole session with 400 'thinking blocks cannot be modified' (2.1.153); concurrent prompts overwrite each other
- Ideas Missing from Claude Cowork Menu (Windows)
- [BUG_BOUNTY_SAFE_POC_2026] Prompt Injection RCE Test - Command Execution Proof
- [BUG] Cowork scheduled task: execution history row not showing after successful run
- Resuming an extended-thinking session fails permanently with 400 "thinking blocks cannot be modified" (transcript stores thinking text as empty but keeps signature)
- [Bug] Plugin-registered CwdChanged and FileChanged hooks don't fire (settings.json works) — v2.1.153
- Auto-archive on PR merge / branch delete — clarify autoArchiveSessions semantics or add dedicated opt-out
- `claude mcp add` echoes Authorization header value verbatim to stdout, leaks bearer tokens to terminal and session transcripts
- [BUG] Bug report — /insights skill, Claude Code The /insights skill outputs a malformed file path.
- Plugin slash commands render with '*'-inline format instead of two-column, despite matching official plugin shape
- [Bug] Unexpected long text generation without user input or goal
- [Bug] Thinking blocks causing task progression blocked without user modification
- [BUG] (Critical!) contamination by an unknown session simirlar to the report => [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin #63137
- [Critical] Opus 4.7 Korean output degeneration — Korean grammar itself collapses in long contexts
- [BUG] Title: Autocompact buffer persists across /clear — wastes tokens for irrelevant old context
- [Bug] Auto-Compact loses user input before processing in conversation history
- Feature: per-invocation effort parameter + runtime session-config introspection for skills
- Auto-mode classifier mislabels Azure DevOps vote -5 as "Reject" when denying PR vote actions
- [BUG] Claude Desktop and Claude Code CLI never re-register MCP tools after OAuth 2.1 handshake on a remote HTTP server
- [BUG] Workspace file tags leak across sessions
- [BUG] Ink renderer crashes on Windows 11 build 26200 (Canary) duplicate banners, terminal mode leaks, mid-operation aborts
- [BUG] Claude Code Desktop issue
- PTY master fd leak in Claude desktop app exhausts macOS kern.tty.ptmx_max after ~2-3 days
- [BUG] Claude Code — Session Management after Unexpected Interruption
- [Windows] Cowork OpenTelemetry exporter does not initialize - zero events emitted to any destination, including loopback
- [Bug] Opus 4.7: 400 `thinking blocks ... cannot be modified` on long extended-thinking sessions, triggered by history-altering events (scheduled prompts / parallel tool-call cancellation)
- [BUG] API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited
- Multi-plugin custom marketplace: only first plugin registered in installed_plugins.json, skills don't load
- [BUG] Git push through the SDK's git proxy fan-outs into ~500 GitHub REST API calls, exhausting the 5,000/hour budget after a handful of pushes
- [BUG] Claude took liberties it really shouldn't with my global config
- [BUG] Agent window focus lost after navigating with arrow keys, causing scroll deadlock
- [BUG] `--model` flag silently ignored in interactive sessions (works in `--print` only)
- [BUG] Dispatch permanently shows "desktop appears offline" on Windows 11 - never worked on first use
- feat: support per-command enableWeakerNetworkIsolation as safer alternative to dangerouslyDisableSandbox
- /code-review outputs a raw JSON array instead of readable findings
- [BUG] Cowork — Additional allowed domains ignored on Team plan; same domain works on Pro plan
- Haiku
- [Bug] False positive blocking beneficial outcomes in tool execution
- 3P Bedrock SSO: credentials silently expire without triggering re-auth on day 2+
- CLAUDE_AUTOCOMPACT_PCT_OVERRIDE in settings.json env block silently ignored by autocompact logic
- Auto-compaction deletes main session JSONL before verifying summary completion, causing data loss
- [Bug] Claude Code not executing stated actions or producing expected results
- [FEATURE] Deferred Messages — Queue Input for End of Turn
- [BUG] Up/Down arrows in input box navigate history instead of moving cursor — regression in 2.1.149+
- Cancelling a parallel tool-call batch corrupts thinking blocks -> 400 "thinking blocks cannot be modified" permanently wedges the session
- Claude Code caused data loss, then contradicted itself about recovery (two incidents, one session)
- [Bug] Unclear error messages from Claude Code CLI
- [Bug] Agent tool rejecting due to context size limit exceeded
- claude agents: daemon and bg-spare processes spin at ~100% CPU when idle
- [BUG] Compaction fails with "context window limit" error even when context usage is low (e.g., 20%) — regression in v2.1.153
- Remote Control entitlement lost after May 27-28 incident — `Error: Remote Control is not yet enabled for your account` on active Max subscription
- PreToolUse hook exit code 2 does not block Write tool
- [Bug] Thinking blocks in latest assistant message are immutable
- GUI: dispatch file:// and custom-scheme clicks to OS shell handler
- Show current model in statusLine by default
- [Bug] Agent console becomes unresponsive to keyboard input after multiple agents initialized
- [FEATURE] PreToolUse hooks should have a way of updating the environment
- [Bug] Unable to start or use Claude Code CLI
- [BUG] Repository not visible in Claude Code web repo picker
- Session permanently wedged on 400 "thinking blocks cannot be modified" after parallel tool_results
- [Bug] @ autocomplete loses sibling repos after a file edit in multi-repo workspace
- Unclear error message when creating sub-agent without authentication
- [Bug] Anthropic API errors causing frequent failures and high token usage
- [BUG] @ mention file picker only shows packages, not individual files (desktop app - Code tab)
- [Bug] TUI panel footer remains sticky and consumes excessive terminal space
- PR-status polling exhausts GitHub GraphQL rate limit on repos with many open PRs
- [BUG] Windows: welcome panel not shown in some project folders (2.1.153)
- [Bug] Anthropic API Error: thinking blocks corrupted during context compaction with extended thinking enabled
- API 400 "thinking blocks cannot be modified" permanently bricks session during agent activation (interleaved thinking + tool use)
- Right-click Copy copies the whole message instead of the selection; pasted text retains dark background
- Mid-session model switch corrupts conversation when extended thinking is enabled (API 400: 'thinking blocks cannot be modified')
- [BUG] Markdown file links in chat output do not open files when clicked (VS Code extension)
- Stuck retry loop: `400 thinking blocks cannot be modified` on large interleaved-thinking turns using AskUserQuestion
- [FEATURE] Prompt user for approval before auto-compaction proceeds
- Custom MCP connectors not attachable to scheduled routines — no UUID discovery path
- [BUG] Claude in Chrome — Navigation blocked for teams.cloud.microsoft and outlook.cloud.microsoft after Microsoft domain migration**
- [BUG] Claude Desktop — Personal plugins panel renders list but is entirely non-interactive (macOS, v1.9255.2)
- [Bug] error when using Workflows
- [BUG] Persistent "update available" notification despite being on latest version
- [BUG] Sweep Agent from /code-review never completes
- [Bug] Tool calls not executing or returning results
- [FEATURE] Cloud-synced memory and settings across machines
- [Bug] Terminal UI freezes when Ctrl+O view exits during interactive prompt in plan mode
- Continuous api errors when using claude code with Opus 4.7 with thinking on low
- [Feature Request] Add support for installing and using previous Claude Code versions
- [Bug] Extended Thinking: Summarized thinking blocks fail signature validation when resent to API
- [Bug] Anthropic API Error: 'thinking' blocks cannot be modified
- [Bug] Anthropic API Error: Thinking blocks cannot be modified with extended thinking mode
- Feature request: Lazy/on-demand MCP server connections
- [Bug] Tool Arguments Parsed as String Instead of Object
- [Bug] Anthropic API Error: Insufficient context provided
- [Bug] Claude Opus occasionally uses moskovian(russian) orthography instead of Ukrainian in system-prompted responses
- Opus 4.8: backgrounded task completions (subagents AND Bash) crash with 400 "thinking blocks cannot be modified"
- [Bug] Opus 4.7 fabricates stable preferences ("my default") to rationalize arbitrary choices when challenged
- [Bug] Unable to update Claude Code CLI
- [BUG] Desktop app: /remote-control mints link + connects bridge (main.log) but in-chat link/QR panel never renders
- Feature: sessionColor and sessionName in .claude/settings.json
- [BUG] Anthropic API error: thinking blocks
- [FEATURE] Support Remote MCPs in Cowork as in Claude Code
- [Bug] Anthropic API Error: 400 Bad Request with Redacted Thinking - 0 4.7 & 4.8
- [Bug] Anthropic API Error: Cannot modify thinking blocks from different model versions
- Interleaved thinking + multi-tool turn corrupts thinking block (text blanked, signature kept) → permanent 400 'blocks must remain as they were'
- [BUG] Mode/permission changes mid-tool-loop (effortLevel: xhigh) poisons entire session
- Session failure log: Opus 4.6 ignores its own rules for an entire session
- [BUG] "400 Guardrail was enabled" error when using Claude Opus 4.8 with AWS Bedrock
- [Feature Request] Add subagent approach selection option to avoid accidental feedback
- Persistent 400 'thinking blocks in the latest assistant message cannot be modified' — interleaved thinking persisted with empty text + signature bricks sessions
- [BUG] DesktopvsApp
- [BUG] Opus 4.7 cache hit rate collapse after May 27 incident — Messages 1.1k→88.9k in 9 minutes, $630/session
- [Bug] Anthropic API Error: Invalid thinking block format
- [BUG] FUCK CLAUDE
- Opus 4.8 extended thinking: Stop hook block re-entry corrupts thinking blocks → 400
- [Bug] 4.8 Fails when accessing previous model history
- [Bug] Unintended File Modifications During Execution
- [DOCS] Model configuration docs omit lean system prompt default scope and model exceptions
- Add "Always allow globally" option to permission prompts
- Server-side model upgrade (Opus 4.7→4.8) wedges in-flight sessions with `thinking blocks cannot be modified` 400
- [DOCS] AskUserQuestion docs missing multiple-choice prompt decision threshold
- [DOCS] Agent view docs omit shell-command background session launch syntax
- [DOCS] Agent view dispatch input docs incorrectly imply `/logout` dispatches as a prompt
- [DOCS] Claude in Chrome docs omit connected-browser selection behavior
- [DOCS] Plugin docs omit `defaultEnabled: false` for opt-in plugins
- Feature Request: Customizable chat text colors for user and assistant messages
- [DOCS] `/plugin` Discover tab docs omit directory-based suggested plugin pins
- VSCode Chrome integration silently fails: 3 distinct bugs
- [DOCS] MCP stdio docs omit session environment variables
- [Bug] Anthropic API error on second request within session with Claude Opus 4.8
- Cowork emits a blank session "index" handoff on focus when a CLI session is paused awaiting input
- [DOCS] MCP docs omit `claude mcp list/get` pending-approval output for unapproved project servers
- [BUG] /compact fails with 400 error when last assistant turn contains thinking blocks
- [DOCS] `/claude-api` docs omit Opus 4.8 migration guidance
- [DOCS] Fast mode docs still recommend deprecated Opus 4.6 override variable
- [DOCS] Bash tool docs omit `$TMPDIR` consistency across sandboxed and unsandboxed commands
- [Bug] Anthropic API Error: 400 Bad Request on Extended Thinking
- [DOCS] Background session docs omit worktree-isolation behavior for spawned subagents
- Built-in mechanistic self-verification of verifiable claims (symmetric to the auto permission gate)
- [DOCS] Worktree docs do not clarify `worktree.baseRef: "head"` inside linked worktrees
- [BUG] Excessive RAM usage with multiple parallel chats (~10 sessions → 30 GB memory pressure, macOS OOM)
- [DOCS] Managed MCP policy docs omit invalid `allowedMcpServers`/`deniedMcpServers` entry behavior
- [DOCS] Effort docs omit `CLAUDE_CODE_ALWAYS_ENABLE_EFFORT` unsupported-model behavior
- Regression (2.1.147–2.1.150?): resuming an extended-thinking session after a CC update/model-switch → unrecoverable 400, session bricked
- [DOCS] Windows updater docs omit `claude.exe` in-use recovery guidance
- [DOCS] VS Code auto mode docs still tie mode-picker visibility to bypass-permissions setting
- [DOCS] MCP docs omit `/mcp` tool list and detail rendering behavior
- [DOCS] Fine-grained tool streaming docs still describe provider opt-in behavior
- bypassPermissions: session startup reads flat pref, GUI toggle writes per-account pref — they never sync
- [BUG] Claude Desktop Code tab causes disk write limit violation — 8.5GB in 11 min, macOS kills app (M5, v1.9659.1)
- Ultrareview v2.1.96: docs describe /tasks command + claude ultrareview --json subcommand that don't exist; findings hard to read after completion
- I'd be happy to help create a GitHub issue title, but I don't see the error message in your message. Could you please share the specific error you're encountering? That way I can generate an accurate and descriptive issue title for you.
- [BUG] Claude in Chrome `file_upload` rejects all scheduled-task sessions with misleading error (real cause: INVALID_SESSION)
- Extended thinking: signed thinking block 'cannot be modified' (400) permanently wedges session
- RTL text support for Hebrew (and Arabic) in Claude Code
- [Bug] Random errors occurring across multiple operations