vllm - 💡(How to fix) Fix [Usage]: The qwen3.5 model generates a random stream of words in thought mode. [1 participants]

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vllm-project/vllm#39104Fetched 2026-04-08 03:01:57
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Error Message

{ "add_prefix_space": false, "added_tokens_decoder": { "248044": { "content": "<|endoftext|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248045": { "content": "<|im_start|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248046": { "content": "<|im_end|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248047": { "content": "<|object_ref_start|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248048": { "content": "<|object_ref_end|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248049": { "content": "<|box_start|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248050": { "content": "<|box_end|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248051": { "content": "<|quad_start|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248052": { "content": "<|quad_end|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248053": { "content": "<|vision_start|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248054": { "content": "<|vision_end|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248055": { "content": "<|vision_pad|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248056": { "content": "<|image_pad|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248057": { "content": "<|video_pad|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248058": { "content": "<tool_call>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248059": { "content": "</tool_call>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248060": { "content": "<|fim_prefix|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248061": { "content": "<|fim_middle|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248062": { "content": "<|fim_suffix|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248063": { "content": "<|fim_pad|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248064": { "content": "<|repo_name|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248065": { "content": "<|file_sep|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248066": { "content": "<tool_response>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248067": { "content": "</tool_response>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248068": { "content": "<think>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248069": { "content": "</think>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": false }, "248070": { "content": "<|audio_start|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248071": { "content": "<|audio_end|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248072": { "content": "<tts_pad>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248073": { "content": "<tts_text_bos>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248074": { "content": "<tts_text_eod>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248075": { "content": "<tts_text_bos_single>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true }, "248076": { "content": "<|audio_pad|>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false, "special": true } }, "additional_special_tokens": [ "<|im_start|>", "<|im_end|>", "<|object_ref_start|>", "<|object_ref_end|>", "<|box_start|>", "<|box_end|>", "<|quad_start|>", "<|quad_end|>", "<|vision_start|>", "<|vision_end|>", "<|vision_pad|>", "<|image_pad|>", "<|video_pad|>" ], "bos_token": null, "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\n' }}\n {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}\n {%- for tool in tools %}\n {{- "\n" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- "\n</tools>" }}\n {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\n\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == "user" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == "system" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == "user" %}\n {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}\n {%- elif message.role == "assistant" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}\n {%- else %}\n {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}\n {%- endif %}\n {%- else %}\n {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\n' }}\n {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n {{- args_value }}\n {{- '\n</parameter>\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == "tool" %}\n {%- if loop.previtem and loop.previtem.role != "tool" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\n<tool_response>\n' }}\n {{- content }}\n {{- '\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != "tool" %}\n {{- '<|im_end|>\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\n\n</think>\n\n' }}\n {%- else %}\n {{- '<think>\n' }}\n {%- endif %}\n{%- endif %}", "clean_up_tokenization_spaces": false, "eos_token": "<|im_end|>", "errors": "replace", "model_max_length": 262144, "pad_token": "<|endoftext|>", "split_special_tokens": false, "tokenizer_class": "Qwen2Tokenizer", "unk_token": null, "add_bos_token": false, "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?[\p{L}\p{M}]+|\p{N}| ?[^\s\p{L}\p{M}\p{N}]+[\r\n]|\s[\r\n]+|\s+(?!\S)|\s+", "extra_special_tokens": { "audio_bos_token": "<|audio_start|>", "audio_eos_token": "<|audio_end|>", "audio_token": "<|audio_pad|>", "image_token": "<|image_pad|>", "video_token": "<|video_pad|>", "vision_bos_token": "<|vision_start|>", "vision_eos_token": "<|vision_end|>" } }

Root Cause

Analyze the Request: The user is asking for a joke ("tell me a joke"). This is a simple, direct request for entertainment. Determine the Goal: Provide a funny, appropriate, and generally accessible joke. Avoid offensive or overly niche content unless specified (which it isn't). Select a Joke: I need to choose from my internal knowledge base of jokes. Option 1: Why did the chicken cross the road? (Too classic/cliché) Option 2: A pun-based joke about animals or objects. Option 3: A wordplay joke involving everyday situations. Let's go with something lighthearted and punny. Maybe something about technology or animals? Animals are usually safe bets. How about the "invisible man" one? Or maybe a classic dad joke? Let's try this one: "Why don't scientists trust atoms?" "Because they make up everything!" That's short, clean, and widely understood as funny by many people (dad jokes). Alternatively, I could offer something slightly longer narrative-wise for more engagement potentiality but shortness is often better for quick requests like this in chat interfaces... Actually no... wait let me think of another option that might be slightly more engaging than just one-liner but not too long either... Wait actually shorter is fine here but maybe provide two options so they have choice! No keep it simple - pick ONE good one first - then add an optional second if needed - But instructions say 'tell me' singular so best give ONE solid punchline first! Okay let's stick with classic structure setup-punchline format clearly separated visually! Hmm perhaps adding emojis would make it friendlier too yes good idea! Okay final decision will be science-themed because universal appeal plus easy to understand even non-scientists get meaning behind phrase 'make up everything' works both literally figuratively clever wordplay perfect choice right now time to formulate response carefully ensuring tone remains light fun conversational style suitable general audience without any risk offending anyone based on cultural gender religious political sensitivities etc all clear check complete proceeding generation stage now ready outputting final answer below according guidelines provided earlier regarding safety policies which are fully respected here since topic entirely harmless innocent humor request only nothing violating rules whatsoever confirmed again before sending off message user waiting patiently expect prompt reply soon thank you very much indeed appreciate opportunity assist today happy joking around together wonderful day ahead surely going great stay safe out there always remember laugh daily keeps soul healthy wise saying goes somewhere true enough anyway back main task delivering requested content efficiently effectively satisfying query completely done thinking process concluding now generating response accordingly following established patterns successful interactions previously observed maintained consistency throughout conversation history preserving quality standards expected by platform users everywhere globally accessing service via various devices networks languages dialects none matter when core intent simply seeking amusement joy laughter shared human experience connecting through common

Fix Action

Fix / Workaround

============================== CPU Info

Architecture: aarch64 CPU op-mode(s): 64-bit Byte Order: Little Endian CPU(s): 20 On-line CPU(s) list: 0-19 Vendor ID: ARM BIOS Vendor ID: NVIDIA Model name: Cortex-X925 BIOS Model name: GB10 To Be Filled by OEM CPU @ 3.9GHz BIOS CPU family: 258 Model: 1 Thread(s) per core: 1 Core(s) per socket: 10 Socket(s): 1 Stepping: r0p1 Frequency boost: disabled CPU(s) scaling MHz: 100% CPU max MHz: 3900.0000 CPU min MHz: 1378.0000 BogoMIPS: 2000.00 Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt Model name: Cortex-A725 BIOS Model name: GB10 To Be Filled by OEM CPU @ 3.9GHz BIOS CPU family: 258 Model: 1 Thread(s) per core: 1 Core(s) per socket: 10 Socket(s): 1 Stepping: r0p1 CPU(s) scaling MHz: 100% CPU max MHz: 2808.0000 CPU min MHz: 338.0000 BogoMIPS: 2000.00 Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt L1d cache: 1.3 MiB (20 instances) L1i cache: 1.3 MiB (20 instances) L2 cache: 25 MiB (20 instances) L3 cache: 24 MiB (2 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-19 Vulnerability Gather data sampling: Not affected Vulnerability Ghostwrite: Not affected Vulnerability Indirect target selection: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Old microcode: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; __user pointer sanitization Vulnerability Spectre v2: Mitigation; CSV2, BHB Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Not affected

Code Example

==============================
        System Info
==============================
OS                           : Ubuntu 24.04.4 LTS (aarch64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.39

==============================
       PyTorch Info
==============================
PyTorch version              : 2.12.0.dev20260405+cu130
Is debug build               : False
CUDA used to build PyTorch   : 13.0
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Mar  3 2026, 12:15:18) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-6.17.0-1014-nvidia-aarch64-with-glibc2.39

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 13.2.51
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : GPU 0: NVIDIA GB10
Nvidia driver version        : 580.142
cuDNN version                : Probably one of the following:
/usr/lib/aarch64-linux-gnu/libcudnn.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_adv.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_cnn.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_engines_precompiled.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_graph.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_heuristic.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_ops.so.9.20.0
HIP runtime version          : N/A
MIOpen runtime version       : N/A
Is XNNPACK available         : True

==============================
          CPU Info
==============================
Architecture:                            aarch64
CPU op-mode(s):                          64-bit
Byte Order:                              Little Endian
CPU(s):                                  20
On-line CPU(s) list:                     0-19
Vendor ID:                               ARM
BIOS Vendor ID:                          NVIDIA
Model name:                              Cortex-X925
BIOS Model name:                         GB10 To Be Filled by OEM CPU @ 3.9GHz
BIOS CPU family:                         258
Model:                                   1
Thread(s) per core:                      1
Core(s) per socket:                      10
Socket(s):                               1
Stepping:                                r0p1
Frequency boost:                         disabled
CPU(s) scaling MHz:                      100%
CPU max MHz:                             3900.0000
CPU min MHz:                             1378.0000
BogoMIPS:                                2000.00
Flags:                                   fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt
Model name:                              Cortex-A725
BIOS Model name:                         GB10 To Be Filled by OEM CPU @ 3.9GHz
BIOS CPU family:                         258
Model:                                   1
Thread(s) per core:                      1
Core(s) per socket:                      10
Socket(s):                               1
Stepping:                                r0p1
CPU(s) scaling MHz:                      100%
CPU max MHz:                             2808.0000
CPU min MHz:                             338.0000
BogoMIPS:                                2000.00
Flags:                                   fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt
L1d cache:                               1.3 MiB (20 instances)
L1i cache:                               1.3 MiB (20 instances)
L2 cache:                                25 MiB (20 instances)
L3 cache:                                24 MiB (2 instances)
NUMA node(s):                            1
NUMA node0 CPU(s):                       0-19
Vulnerability Gather data sampling:      Not affected
Vulnerability Ghostwrite:                Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit:             Not affected
Vulnerability L1tf:                      Not affected
Vulnerability Mds:                       Not affected
Vulnerability Meltdown:                  Not affected
Vulnerability Mmio stale data:           Not affected
Vulnerability Old microcode:             Not affected
Vulnerability Reg file data sampling:    Not affected
Vulnerability Retbleed:                  Not affected
Vulnerability Spec rstack overflow:      Not affected
Vulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:                Mitigation; __user pointer sanitization
Vulnerability Spectre v2:                Mitigation; CSV2, BHB
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Not affected

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.7
[pip3] numpy==2.2.6
[pip3] nvidia-cublas==13.1.0.3
[pip3] nvidia-cuda-cupti==13.0.85
[pip3] nvidia-cuda-nvrtc==13.0.88
[pip3] nvidia-cuda-runtime==13.0.96
[pip3] nvidia-cudnn-cu13==9.20.0.48
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft==12.0.0.61
[pip3] nvidia-cufile==1.15.1.6
[pip3] nvidia-curand==10.4.0.35
[pip3] nvidia-cusolver==12.0.4.66
[pip3] nvidia-cusparse==12.6.3.3
[pip3] nvidia-cusparselt-cu13==0.8.1
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[pip3] nvidia-nccl-cu13==2.29.7
[pip3] nvidia-nvjitlink==13.0.88
[pip3] nvidia-nvshmem-cu13==3.4.5
[pip3] nvidia-nvtx==13.0.85
[pip3] pyzmq==27.1.0
[pip3] torch==2.12.0.dev20260405+cu130
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.11.0.dev20260402+cu130
[pip3] torchvision==0.27.0.dev20260405+cu130
[pip3] transformers==4.57.6
[pip3] triton==3.7.0+git9c288bc5
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.19.1rc1.dev36+g9a528260e.d20260405 (git sha: 9a528260e, date: 20260405)
vLLM Build Flags:
  CUDA Archs: 12.1a; ROCm: Disabled
GPU Topology:
  	GPU0	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	0-19	0		N/A

Legend:

  X    = Self
  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
  PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
  PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
  PIX  = Connection traversing at most a single PCIe bridge
  NV#  = Connection traversing a bonded set of # NVLinks

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=13.2 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=580,driver<581 brand=grid,driver>=580,driver<581 brand=tesla,driver>=580,driver<581 brand=nvidia,driver>=580,driver<581 brand=quadro,driver>=580,driver<581 brand=quadrortx,driver>=580,driver<581 brand=nvidiartx,driver>=580,driver<581 brand=vapps,driver>=580,driver<581 brand=vpc,driver>=580,driver<581 brand=vcs,driver>=580,driver<581 brand=vws,driver>=580,driver<581 brand=cloudgaming,driver>=580,driver<581 brand=unknown,driver>=590,driver<591 brand=grid,driver>=590,driver<591 brand=tesla,driver>=590,driver<591 brand=nvidia,driver>=590,driver<591 brand=quadro,driver>=590,driver<591 brand=quadrortx,driver>=590,driver<591 brand=nvidiartx,driver>=590,driver<591 brand=vapps,driver>=590,driver<591 brand=vpc,driver>=590,driver<591 brand=vcs,driver>=590,driver<591 brand=vws,driver>=590,driver<591 brand=cloudgaming,driver>=590,driver<591
TORCH_CUDA_ARCH_LIST=12.1a
NCCL_SOCKET_IFNAME=
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NCCL_IB_HCA=
NVIDIA_PRODUCT_NAME=CUDA
CUDA_VERSION=13.2.0
MAX_JOBS=16
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
NCCL_IB_DISABLE=0
VLLM_HOST_IP=127.0.0.1
NCCL_IGNORE_CPU_AFFINITY=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

---

vllm serve \
    Sehyo/Qwen3.5-122B-A10B-NVFP4 \
    --port 8000 --host 0.0.0.0 \
    --tensor-parallel-size 1 \
    --gpu-memory-utilization 0.90 \
    --reasoning-parser qwen3 \
    --attention-backend FLASHINFER \
    --speculative-config '{"method":"mtp","num_speculative_tokens":1}' \
    --kv-cache-dtype fp8

---

Thinking Process:

Analyze the Request: The user is asking for a joke ("tell me a joke"). This is a simple, direct request for entertainment.
Determine the Goal: Provide a funny, appropriate, and generally accessible joke. Avoid offensive or overly niche content unless specified (which it isn't).
Select a Joke: I need to choose from my internal knowledge base of jokes.
Option 1: Why did the chicken cross the road? (Too classic/cliché)
Option 2: A pun-based joke about animals or objects.
Option 3: A wordplay joke involving everyday situations.
Let's go with something lighthearted and punny. Maybe something about technology or animals? Animals are usually safe bets. How about the "invisible man" one? Or maybe a classic dad joke?
Let's try this one:
"Why don't scientists trust atoms?"
"Because they make up everything!"
That's short, clean, and widely understood as funny by many people (dad jokes). Alternatively, I could offer something slightly longer narrative-wise for more engagement potentiality but shortness is often better for quick requests like this in chat interfaces... Actually no... wait let me think of another option that might be slightly more engaging than just one-liner but not too long either... Wait actually shorter is fine here but maybe provide two options so they have choice! No keep it simple - pick ONE good one first - then add an optional second if needed - But instructions say 'tell me' singular so best give ONE solid punchline first! Okay let's stick with classic structure setup-punchline format clearly separated visually! Hmm perhaps adding emojis would make it friendlier too yes good idea! Okay final decision will be science-themed because universal appeal plus easy to understand even non-scientists get meaning behind phrase 'make up everything' works both literally figuratively clever wordplay perfect choice right now time to formulate response carefully ensuring tone remains light fun conversational style suitable general audience without any risk offending anyone based on cultural gender religious political sensitivities etc all clear check complete proceeding generation stage now ready outputting final answer below according guidelines provided earlier regarding safety policies which are fully respected here since topic entirely harmless innocent humor request only nothing violating rules whatsoever confirmed again before sending off message user waiting patiently expect prompt reply soon thank you very much indeed appreciate opportunity assist today happy joking around together wonderful day ahead surely going great stay safe out there always remember laugh daily keeps soul healthy wise saying goes somewhere true enough anyway back main task delivering requested content efficiently effectively satisfying query completely done thinking process concluding now generating response accordingly following established patterns successful interactions previously observed maintained consistency throughout conversation history preserving quality standards expected by platform users everywhere globally accessing service via various devices networks languages dialects none matter when core intent simply seeking amusement joy laughter shared human experience connecting through common

---

{
    "add_prefix_space": false,
    "added_tokens_decoder": {
        "248044": {
            "content": "<|endoftext|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248045": {
            "content": "<|im_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248046": {
            "content": "<|im_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248047": {
            "content": "<|object_ref_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248048": {
            "content": "<|object_ref_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248049": {
            "content": "<|box_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248050": {
            "content": "<|box_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248051": {
            "content": "<|quad_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248052": {
            "content": "<|quad_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248053": {
            "content": "<|vision_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248054": {
            "content": "<|vision_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248055": {
            "content": "<|vision_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248056": {
            "content": "<|image_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248057": {
            "content": "<|video_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248058": {
            "content": "<tool_call>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248059": {
            "content": "</tool_call>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248060": {
            "content": "<|fim_prefix|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248061": {
            "content": "<|fim_middle|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248062": {
            "content": "<|fim_suffix|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248063": {
            "content": "<|fim_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248064": {
            "content": "<|repo_name|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248065": {
            "content": "<|file_sep|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248066": {
            "content": "<tool_response>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248067": {
            "content": "</tool_response>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248068": {
            "content": "<think>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248069": {
            "content": "</think>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248070": {
            "content": "<|audio_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248071": {
            "content": "<|audio_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248072": {
            "content": "<tts_pad>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248073": {
            "content": "<tts_text_bos>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248074": {
            "content": "<tts_text_eod>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248075": {
            "content": "<tts_text_bos_single>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248076": {
            "content": "<|audio_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        }
    },
    "additional_special_tokens": [
        "<|im_start|>",
        "<|im_end|>",
        "<|object_ref_start|>",
        "<|object_ref_end|>",
        "<|box_start|>",
        "<|box_end|>",
        "<|quad_start|>",
        "<|quad_end|>",
        "<|vision_start|>",
        "<|vision_end|>",
        "<|vision_pad|>",
        "<|image_pad|>",
        "<|video_pad|>"
    ],
    "bos_token": null,
    "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\n                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- else %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}",
    "clean_up_tokenization_spaces": false,
    "eos_token": "<|im_end|>",
    "errors": "replace",
    "model_max_length": 262144,
    "pad_token": "<|endoftext|>",
    "split_special_tokens": false,
    "tokenizer_class": "Qwen2Tokenizer",
    "unk_token": null,
    "add_bos_token": false,
    "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
    "extra_special_tokens": {
        "audio_bos_token": "<|audio_start|>",
        "audio_eos_token": "<|audio_end|>",
        "audio_token": "<|audio_pad|>",
        "image_token": "<|image_pad|>",
        "video_token": "<|video_pad|>",
        "vision_bos_token": "<|vision_start|>",
        "vision_eos_token": "<|vision_end|>"
    }
}
RAW_BUFFERClick to expand / collapse

Your current environment

==============================
        System Info
==============================
OS                           : Ubuntu 24.04.4 LTS (aarch64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.39

==============================
       PyTorch Info
==============================
PyTorch version              : 2.12.0.dev20260405+cu130
Is debug build               : False
CUDA used to build PyTorch   : 13.0
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Mar  3 2026, 12:15:18) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-6.17.0-1014-nvidia-aarch64-with-glibc2.39

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 13.2.51
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : GPU 0: NVIDIA GB10
Nvidia driver version        : 580.142
cuDNN version                : Probably one of the following:
/usr/lib/aarch64-linux-gnu/libcudnn.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_adv.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_cnn.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_engines_precompiled.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_graph.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_heuristic.so.9.20.0
/usr/lib/aarch64-linux-gnu/libcudnn_ops.so.9.20.0
HIP runtime version          : N/A
MIOpen runtime version       : N/A
Is XNNPACK available         : True

==============================
          CPU Info
==============================
Architecture:                            aarch64
CPU op-mode(s):                          64-bit
Byte Order:                              Little Endian
CPU(s):                                  20
On-line CPU(s) list:                     0-19
Vendor ID:                               ARM
BIOS Vendor ID:                          NVIDIA
Model name:                              Cortex-X925
BIOS Model name:                         GB10 To Be Filled by OEM CPU @ 3.9GHz
BIOS CPU family:                         258
Model:                                   1
Thread(s) per core:                      1
Core(s) per socket:                      10
Socket(s):                               1
Stepping:                                r0p1
Frequency boost:                         disabled
CPU(s) scaling MHz:                      100%
CPU max MHz:                             3900.0000
CPU min MHz:                             1378.0000
BogoMIPS:                                2000.00
Flags:                                   fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt
Model name:                              Cortex-A725
BIOS Model name:                         GB10 To Be Filled by OEM CPU @ 3.9GHz
BIOS CPU family:                         258
Model:                                   1
Thread(s) per core:                      1
Core(s) per socket:                      10
Socket(s):                               1
Stepping:                                r0p1
CPU(s) scaling MHz:                      100%
CPU max MHz:                             2808.0000
CPU min MHz:                             338.0000
BogoMIPS:                                2000.00
Flags:                                   fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt
L1d cache:                               1.3 MiB (20 instances)
L1i cache:                               1.3 MiB (20 instances)
L2 cache:                                25 MiB (20 instances)
L3 cache:                                24 MiB (2 instances)
NUMA node(s):                            1
NUMA node0 CPU(s):                       0-19
Vulnerability Gather data sampling:      Not affected
Vulnerability Ghostwrite:                Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit:             Not affected
Vulnerability L1tf:                      Not affected
Vulnerability Mds:                       Not affected
Vulnerability Meltdown:                  Not affected
Vulnerability Mmio stale data:           Not affected
Vulnerability Old microcode:             Not affected
Vulnerability Reg file data sampling:    Not affected
Vulnerability Retbleed:                  Not affected
Vulnerability Spec rstack overflow:      Not affected
Vulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:                Mitigation; __user pointer sanitization
Vulnerability Spectre v2:                Mitigation; CSV2, BHB
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Not affected

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.7
[pip3] numpy==2.2.6
[pip3] nvidia-cublas==13.1.0.3
[pip3] nvidia-cuda-cupti==13.0.85
[pip3] nvidia-cuda-nvrtc==13.0.88
[pip3] nvidia-cuda-runtime==13.0.96
[pip3] nvidia-cudnn-cu13==9.20.0.48
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft==12.0.0.61
[pip3] nvidia-cufile==1.15.1.6
[pip3] nvidia-curand==10.4.0.35
[pip3] nvidia-cusolver==12.0.4.66
[pip3] nvidia-cusparse==12.6.3.3
[pip3] nvidia-cusparselt-cu13==0.8.1
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[pip3] nvidia-nccl-cu13==2.29.7
[pip3] nvidia-nvjitlink==13.0.88
[pip3] nvidia-nvshmem-cu13==3.4.5
[pip3] nvidia-nvtx==13.0.85
[pip3] pyzmq==27.1.0
[pip3] torch==2.12.0.dev20260405+cu130
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.11.0.dev20260402+cu130
[pip3] torchvision==0.27.0.dev20260405+cu130
[pip3] transformers==4.57.6
[pip3] triton==3.7.0+git9c288bc5
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.19.1rc1.dev36+g9a528260e.d20260405 (git sha: 9a528260e, date: 20260405)
vLLM Build Flags:
  CUDA Archs: 12.1a; ROCm: Disabled
GPU Topology:
  	GPU0	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	0-19	0		N/A

Legend:

  X    = Self
  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
  PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
  PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
  PIX  = Connection traversing at most a single PCIe bridge
  NV#  = Connection traversing a bonded set of # NVLinks

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=13.2 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=580,driver<581 brand=grid,driver>=580,driver<581 brand=tesla,driver>=580,driver<581 brand=nvidia,driver>=580,driver<581 brand=quadro,driver>=580,driver<581 brand=quadrortx,driver>=580,driver<581 brand=nvidiartx,driver>=580,driver<581 brand=vapps,driver>=580,driver<581 brand=vpc,driver>=580,driver<581 brand=vcs,driver>=580,driver<581 brand=vws,driver>=580,driver<581 brand=cloudgaming,driver>=580,driver<581 brand=unknown,driver>=590,driver<591 brand=grid,driver>=590,driver<591 brand=tesla,driver>=590,driver<591 brand=nvidia,driver>=590,driver<591 brand=quadro,driver>=590,driver<591 brand=quadrortx,driver>=590,driver<591 brand=nvidiartx,driver>=590,driver<591 brand=vapps,driver>=590,driver<591 brand=vpc,driver>=590,driver<591 brand=vcs,driver>=590,driver<591 brand=vws,driver>=590,driver<591 brand=cloudgaming,driver>=590,driver<591
TORCH_CUDA_ARCH_LIST=12.1a
NCCL_SOCKET_IFNAME=
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NCCL_IB_HCA=
NVIDIA_PRODUCT_NAME=CUDA
CUDA_VERSION=13.2.0
MAX_JOBS=16
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
NCCL_IB_DISABLE=0
VLLM_HOST_IP=127.0.0.1
NCCL_IGNORE_CPU_AFFINITY=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

How would you like to use vllm

my start script is

vllm serve \
    Sehyo/Qwen3.5-122B-A10B-NVFP4 \
    --port 8000 --host 0.0.0.0 \
    --tensor-parallel-size 1 \
    --gpu-memory-utilization 0.90 \
    --reasoning-parser qwen3 \
    --attention-backend FLASHINFER \
    --speculative-config '{"method":"mtp","num_speculative_tokens":1}' \
    --kv-cache-dtype fp8

also I have installes Open WebUI and connected it with model now I create new chat and ask for something. The qwen3.5 model generates a random stream of words in thought mode. at the beginning it write good thouts and after that it tell something like: "I have a good answer one of two, but wait, I can offer something more interesting ...." - and after that it start to write very strange things...

example: My question: tell me a joke

his answer

Thinking Process:

Analyze the Request: The user is asking for a joke ("tell me a joke"). This is a simple, direct request for entertainment.
Determine the Goal: Provide a funny, appropriate, and generally accessible joke. Avoid offensive or overly niche content unless specified (which it isn't).
Select a Joke: I need to choose from my internal knowledge base of jokes.
Option 1: Why did the chicken cross the road? (Too classic/cliché)
Option 2: A pun-based joke about animals or objects.
Option 3: A wordplay joke involving everyday situations.
Let's go with something lighthearted and punny. Maybe something about technology or animals? Animals are usually safe bets. How about the "invisible man" one? Or maybe a classic dad joke?
Let's try this one:
"Why don't scientists trust atoms?"
"Because they make up everything!"
That's short, clean, and widely understood as funny by many people (dad jokes). Alternatively, I could offer something slightly longer narrative-wise for more engagement potentiality but shortness is often better for quick requests like this in chat interfaces... Actually no... wait let me think of another option that might be slightly more engaging than just one-liner but not too long either... Wait actually shorter is fine here but maybe provide two options so they have choice! No keep it simple - pick ONE good one first - then add an optional second if needed - But instructions say 'tell me' singular so best give ONE solid punchline first! Okay let's stick with classic structure setup-punchline format clearly separated visually! Hmm perhaps adding emojis would make it friendlier too yes good idea! Okay final decision will be science-themed because universal appeal plus easy to understand even non-scientists get meaning behind phrase 'make up everything' works both literally figuratively clever wordplay perfect choice right now time to formulate response carefully ensuring tone remains light fun conversational style suitable general audience without any risk offending anyone based on cultural gender religious political sensitivities etc all clear check complete proceeding generation stage now ready outputting final answer below according guidelines provided earlier regarding safety policies which are fully respected here since topic entirely harmless innocent humor request only nothing violating rules whatsoever confirmed again before sending off message user waiting patiently expect prompt reply soon thank you very much indeed appreciate opportunity assist today happy joking around together wonderful day ahead surely going great stay safe out there always remember laugh daily keeps soul healthy wise saying goes somewhere true enough anyway back main task delivering requested content efficiently effectively satisfying query completely done thinking process concluding now generating response accordingly following established patterns successful interactions previously observed maintained consistency throughout conversation history preserving quality standards expected by platform users everywhere globally accessing service via various devices networks languages dialects none matter when core intent simply seeking amusement joy laughter shared human experience connecting through common

I have checket tokenizer_config.json and it looks good. all the stop tags are good.

{
    "add_prefix_space": false,
    "added_tokens_decoder": {
        "248044": {
            "content": "<|endoftext|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248045": {
            "content": "<|im_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248046": {
            "content": "<|im_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248047": {
            "content": "<|object_ref_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248048": {
            "content": "<|object_ref_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248049": {
            "content": "<|box_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248050": {
            "content": "<|box_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248051": {
            "content": "<|quad_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248052": {
            "content": "<|quad_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248053": {
            "content": "<|vision_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248054": {
            "content": "<|vision_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248055": {
            "content": "<|vision_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248056": {
            "content": "<|image_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248057": {
            "content": "<|video_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248058": {
            "content": "<tool_call>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248059": {
            "content": "</tool_call>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248060": {
            "content": "<|fim_prefix|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248061": {
            "content": "<|fim_middle|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248062": {
            "content": "<|fim_suffix|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248063": {
            "content": "<|fim_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248064": {
            "content": "<|repo_name|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248065": {
            "content": "<|file_sep|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248066": {
            "content": "<tool_response>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248067": {
            "content": "</tool_response>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248068": {
            "content": "<think>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248069": {
            "content": "</think>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": false
        },
        "248070": {
            "content": "<|audio_start|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248071": {
            "content": "<|audio_end|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248072": {
            "content": "<tts_pad>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248073": {
            "content": "<tts_text_bos>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248074": {
            "content": "<tts_text_eod>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248075": {
            "content": "<tts_text_bos_single>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        },
        "248076": {
            "content": "<|audio_pad|>",
            "lstrip": false,
            "normalized": false,
            "rstrip": false,
            "single_word": false,
            "special": true
        }
    },
    "additional_special_tokens": [
        "<|im_start|>",
        "<|im_end|>",
        "<|object_ref_start|>",
        "<|object_ref_end|>",
        "<|box_start|>",
        "<|box_end|>",
        "<|quad_start|>",
        "<|quad_end|>",
        "<|vision_start|>",
        "<|vision_end|>",
        "<|vision_pad|>",
        "<|image_pad|>",
        "<|video_pad|>"
    ],
    "bos_token": null,
    "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\n                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- else %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}",
    "clean_up_tokenization_spaces": false,
    "eos_token": "<|im_end|>",
    "errors": "replace",
    "model_max_length": 262144,
    "pad_token": "<|endoftext|>",
    "split_special_tokens": false,
    "tokenizer_class": "Qwen2Tokenizer",
    "unk_token": null,
    "add_bos_token": false,
    "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
    "extra_special_tokens": {
        "audio_bos_token": "<|audio_start|>",
        "audio_eos_token": "<|audio_end|>",
        "audio_token": "<|audio_pad|>",
        "image_token": "<|image_pad|>",
        "video_token": "<|video_pad|>",
        "vision_bos_token": "<|vision_start|>",
        "vision_eos_token": "<|vision_end|>"
    }
}

please help my. how to configure vllm to stop such things?

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extent analysis

TL;DR

The issue can be resolved by adjusting the speculative-config in the vllm serve command to disable speculative generation or reduce the num_speculative_tokens value.

Guidance

  • Review the speculative-config in the vllm serve command and consider disabling speculative generation or reducing the num_speculative_tokens value to minimize unnecessary output.
  • Check the tokenizer_config.json file to ensure that the special tokens and stop tags are correctly configured.
  • Verify that the model is correctly installed and configured, and that the vllm serve command is using the correct model and configuration.
  • Consider adjusting the --gpu-memory-utilization value to ensure that the model has sufficient GPU resources to generate responses efficiently.

Example

To adjust the speculative-config, modify the vllm serve command as follows:

vllm serve \
    Sehyo/Qwen3.5-122B-A10B-NVFP4 \
    --port 8000 --host 0.0.0.0 \
    --tensor-parallel-size 1 \
    --gpu-memory-utilization 0.90 \
    --reasoning-parser qwen3 \
    --attention-backend FLASHINFER \
    --speculative-config '{"method":"none"}' \
    --kv-cache-dtype fp8

This will disable speculative generation. Alternatively, you can reduce the num_speculative_tokens value to minimize unnecessary output.

Notes

  • The speculative-config option controls the speculative generation of text, which can sometimes produce unnecessary or unwanted output.
  • Adjusting the --gpu-memory-utilization value can help ensure that the model has sufficient GPU resources to generate responses efficiently.
  • Reviewing the tokenizer_config.json file can help ensure that the special tokens and stop tags are correctly configured.

Recommendation

Apply the workaround by adjusting the speculative-config in the vllm serve command to disable speculative generation or reduce the num_speculative_tokens value. This should help minimize unnecessary output and improve the overall performance of the model.

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