transformers - 💡(How to fix) Fix Error running Qwen-3-8B-NVFP4 [2 comments, 3 participants]
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huggingface/transformers#44292•Fetched 2026-04-08 00:29:19
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Error Message
Traceback (most recent call last): File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 372, in <module> main() File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 356, in main _ = generate_text( ^^^^^^^^^^^^^^ File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 138, in generate_text output_ids = model.generate(**inputs, **gen_kwargs, return_dict_in_generate=True, output_scores=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/generation/utils.py", line 2566, in generate result = decoding_method( ^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/generation/utils.py", line 2786, in _sample outputs = self(**model_inputs, return_dict=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/generic.py", line 918, in wrapper output = func(self, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 480, in forward outputs: BaseModelOutputWithPast = self.model( ^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/generic.py", line 1072, in wrapper outputs = func(self, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 410, in forward hidden_states = decoder_layer( ^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/modeling_layers.py", line 94, in call return super().call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 260, in forward hidden_states, _ = self.self_attn( ^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 200, in forward query_states = self.q_norm(self.q_proj(hidden_states).view(hidden_shape)).transpose(1, 2) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/quantization/lifecycle/forward.py", line 387, in wrapped_forward output = forward_func_orig.get(module, module.class)( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/linear/compressed_linear.py", line 103, in forward weight_data = self.compressor.decompress_module(self) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/compressors/base.py", line 188, in decompress_module return self.decompress_weight( ^^^^^^^^^^^^^^^^^^^^^^^ File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/compressors/quantized_compressors/fp4_quantized.py", line 126, in decompress_weight scale = compressed_data["weight_scale"] ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^ KeyError: 'weight_scale'
Code Example
Traceback (most recent call last):
File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 372, in <module>
main()
File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 356, in main
_ = generate_text(
^^^^^^^^^^^^^^
File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 138, in generate_text
output_ids = model.generate(**inputs, **gen_kwargs, return_dict_in_generate=True, output_scores=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/generation/utils.py", line 2566, in generate
result = decoding_method(
^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/generation/utils.py", line 2786, in _sample
outputs = self(**model_inputs, return_dict=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/generic.py", line 918, in wrapper
output = func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 480, in forward
outputs: BaseModelOutputWithPast = self.model(
^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/generic.py", line 1072, in wrapper
outputs = func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 410, in forward
hidden_states = decoder_layer(
^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/modeling_layers.py", line 94, in __call__
return super().__call__(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 260, in forward
hidden_states, _ = self.self_attn(
^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 200, in forward
query_states = self.q_norm(self.q_proj(hidden_states).view(hidden_shape)).transpose(1, 2)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/quantization/lifecycle/forward.py", line 387, in wrapped_forward
output = forward_func_orig.__get__(module, module.__class__)(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/linear/compressed_linear.py", line 103, in forward
weight_data = self.compressor.decompress_module(self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/compressors/base.py", line 188, in decompress_module
return self.decompress_weight(
^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/compressors/quantized_compressors/fp4_quantized.py", line 126, in decompress_weight
scale = compressed_data["weight_scale"]
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'weight_scale'
---
Using Python 3.12.3 environment at: uv_venvs/transformers-v4576
Package Version
------------------------ ---------
accelerate 1.12.0
annotated-types 0.7.0
certifi 2026.1.4
charset-normalizer 3.4.4
compressed-tensors 0.13.0
cuda-bindings 12.9.4
cuda-pathfinder 1.3.4
filelock 3.24.3
fsspec 2026.2.0
hf-xet 1.2.0
huggingface-hub 0.36.2
idna 3.11
jinja2 3.1.6
loguru 0.7.3
markupsafe 3.0.3
mpmath 1.3.0
networkx 3.6.1
numpy 2.4.2
nvidia-cublas-cu12 12.8.4.1
nvidia-cuda-cupti-cu12 12.8.90
nvidia-cuda-nvrtc-cu12 12.8.93
nvidia-cuda-runtime-cu12 12.8.90
nvidia-cudnn-cu12 9.10.2.21
nvidia-cufft-cu12 11.3.3.83
nvidia-cufile-cu12 1.13.1.3
nvidia-curand-cu12 10.3.9.90
nvidia-cusolver-cu12 11.7.3.90
nvidia-cusparse-cu12 12.5.8.93
nvidia-cusparselt-cu12 0.7.1
nvidia-nccl-cu12 2.27.5
nvidia-nvjitlink-cu12 12.8.93
nvidia-nvshmem-cu12 3.4.5
nvidia-nvtx-cu12 12.8.90
packaging 26.0
psutil 7.2.2
pydantic 2.12.5
pydantic-core 2.41.5
pyyaml 6.0.3
regex 2026.2.19
requests 2.32.5
safetensors 0.7.0
setuptools 82.0.0
sympy 1.14.0
tokenizers 0.22.2
torch 2.10.0
tqdm 4.67.3
transformers 4.57.6
triton 3.6.0
typing-extensions 4.15.0
typing-inspection 0.4.2
urllib3 2.6.3
---
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
MODEL_ID = "RedHatAI/Qwen3-8B-NVFP4"
DEVICE = "cuda:0" if torch.cuda.is_available() else "cpu"
print("Torch:", torch.__version__)
print("CUDA available:", torch.cuda.is_available())
if torch.cuda.is_available():
print("GPU:", torch.cuda.get_device_name(0))
# Load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
model = AutoModelForCausalLM.from_pretrained(MODEL_ID)
model.eval()
model.to(DEVICE)
# Single request
prompt = "Say hello in one sentence."
inputs = tokenizer(prompt, return_tensors="pt").to(DEVICE)
with torch.no_grad():
outputs = model.generate(
**inputs,
max_new_tokens=32,
do_sample=False
)
generated = outputs[:, inputs["input_ids"].shape[1]:]
text = tokenizer.decode(generated[0], skip_special_tokens=False)
print("\n=== OUTPUT ===")
print(text)RAW_BUFFERClick to expand / collapse
System Info
Hi,
I encountered the following error while running Qwen-3-8B-NVFP4 model.
Is NVFP4 not supported on transformers? My package info is also shared at the bottom.
Traceback (most recent call last):
File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 372, in <module>
main()
File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 356, in main
_ = generate_text(
^^^^^^^^^^^^^^
File "/raid/yilegu/diagnosis_agent_demo/drivers/driver_hf_v2.py", line 138, in generate_text
output_ids = model.generate(**inputs, **gen_kwargs, return_dict_in_generate=True, output_scores=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/generation/utils.py", line 2566, in generate
result = decoding_method(
^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/generation/utils.py", line 2786, in _sample
outputs = self(**model_inputs, return_dict=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/generic.py", line 918, in wrapper
output = func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 480, in forward
outputs: BaseModelOutputWithPast = self.model(
^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/generic.py", line 1072, in wrapper
outputs = func(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 410, in forward
hidden_states = decoder_layer(
^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/modeling_layers.py", line 94, in __call__
return super().__call__(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 260, in forward
hidden_states, _ = self.self_attn(
^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/transformers/models/qwen3/modeling_qwen3.py", line 200, in forward
query_states = self.q_norm(self.q_proj(hidden_states).view(hidden_shape)).transpose(1, 2)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/quantization/lifecycle/forward.py", line 387, in wrapped_forward
output = forward_func_orig.__get__(module, module.__class__)(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/linear/compressed_linear.py", line 103, in forward
weight_data = self.compressor.decompress_module(self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/compressors/base.py", line 188, in decompress_module
return self.decompress_weight(
^^^^^^^^^^^^^^^^^^^^^^^
File "/raid/yilegu/uv_venvs/transformers-v4576/lib/python3.12/site-packages/compressed_tensors/compressors/quantized_compressors/fp4_quantized.py", line 126, in decompress_weight
scale = compressed_data["weight_scale"]
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'weight_scale'Package Info
Using Python 3.12.3 environment at: uv_venvs/transformers-v4576
Package Version
------------------------ ---------
accelerate 1.12.0
annotated-types 0.7.0
certifi 2026.1.4
charset-normalizer 3.4.4
compressed-tensors 0.13.0
cuda-bindings 12.9.4
cuda-pathfinder 1.3.4
filelock 3.24.3
fsspec 2026.2.0
hf-xet 1.2.0
huggingface-hub 0.36.2
idna 3.11
jinja2 3.1.6
loguru 0.7.3
markupsafe 3.0.3
mpmath 1.3.0
networkx 3.6.1
numpy 2.4.2
nvidia-cublas-cu12 12.8.4.1
nvidia-cuda-cupti-cu12 12.8.90
nvidia-cuda-nvrtc-cu12 12.8.93
nvidia-cuda-runtime-cu12 12.8.90
nvidia-cudnn-cu12 9.10.2.21
nvidia-cufft-cu12 11.3.3.83
nvidia-cufile-cu12 1.13.1.3
nvidia-curand-cu12 10.3.9.90
nvidia-cusolver-cu12 11.7.3.90
nvidia-cusparse-cu12 12.5.8.93
nvidia-cusparselt-cu12 0.7.1
nvidia-nccl-cu12 2.27.5
nvidia-nvjitlink-cu12 12.8.93
nvidia-nvshmem-cu12 3.4.5
nvidia-nvtx-cu12 12.8.90
packaging 26.0
psutil 7.2.2
pydantic 2.12.5
pydantic-core 2.41.5
pyyaml 6.0.3
regex 2026.2.19
requests 2.32.5
safetensors 0.7.0
setuptools 82.0.0
sympy 1.14.0
tokenizers 0.22.2
torch 2.10.0
tqdm 4.67.3
transformers 4.57.6
triton 3.6.0
typing-extensions 4.15.0
typing-inspection 0.4.2
urllib3 2.6.3Who can help?
@ArthurZucker @SunMarc @MekkCyber
Information
- The official example scripts
- My own modified scripts
Tasks
- An officially supported task in the
examplesfolder (such as GLUE/SQuAD, ...) - My own task or dataset (give details below)
Reproduction
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
MODEL_ID = "RedHatAI/Qwen3-8B-NVFP4"
DEVICE = "cuda:0" if torch.cuda.is_available() else "cpu"
print("Torch:", torch.__version__)
print("CUDA available:", torch.cuda.is_available())
if torch.cuda.is_available():
print("GPU:", torch.cuda.get_device_name(0))
# Load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
model = AutoModelForCausalLM.from_pretrained(MODEL_ID)
model.eval()
model.to(DEVICE)
# Single request
prompt = "Say hello in one sentence."
inputs = tokenizer(prompt, return_tensors="pt").to(DEVICE)
with torch.no_grad():
outputs = model.generate(
**inputs,
max_new_tokens=32,
do_sample=False
)
generated = outputs[:, inputs["input_ids"].shape[1]:]
text = tokenizer.decode(generated[0], skip_special_tokens=False)
print("\n=== OUTPUT ===")
print(text)Expected behavior
No error
extent analysis
Problem Summary
The issue is caused by a KeyError when trying to decompress a weight in the Qwen-3-8B-NVFP4 model. The error occurs because the 'weight_scale' key is missing from the compressed data.
Root Cause Analysis
The root cause is likely due to a mismatch between the compressed tensors library and the model's requirements. The Qwen-3-8B-NVFP4 model is using FP4 quantization, but the compressed tensors library is not properly configured to handle this type of quantization.
Fix Plan
To fix this issue, you need to update the compressed tensors library to support FP4 quantization. Here are the steps:
Step 1: Update the compressed tensors library
Update the compressed-tensors library to the latest version that supports FP4 quantization.
pip install --upgrade compressed-tensorsStep 2: Update the model's configuration
Update the model's configuration to use the correct quantization scheme. In this case, you need to set the quantization parameter to fp4 when loading the model.
from transformers import AutoModelForCausalLM
MODEL_ID = "RedHatAI/Qwen3-8B-NVFP4"
DEVICE = "cuda:0" if torch.cuda.is_available() else "cpu"
# Load tokenizer and model with FP4 quantization
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
model = AutoModelForCausalLM.from_pretrained(MODEL_ID, quantization="fp4")
model.eval()
model.to(DEVICE)Step 3: Verify the fix
Run the reproduction script again to verify that the fix works.
# Single request
prompt = "Say hello in one sentence."
inputs = tokenizer(prompt, return_tensors="pt").to(DEVICE)
with torch.no_grad():
outputs = model.generate(
**inputsVote matrix · Quick signals
Works
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Easy Fix
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Time Saver
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Common Issue
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Flaky / Intermittent
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FAQ
Expected behavior
No error
Still need to ship something?
×6Another batch ranked right after the header list — different links, same matching logic.
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- [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