Model Hallucination Occurs again and again.

Reproduisez le rapport avec setup_env.py et run_inference.py en utilisant models/BitNet-b1.58-2B-4T/ggml-model-i2_s.gguf et le prompt fourni. Commencez par capturer la réponse générée complète et les détails de l’environnement ; actuellement, l’issue ne définit pas la sortie attendue et ne montre pas l’hallucination présumée. Le travail est terminé lorsque l’échec est reproductible et que sa cause ainsi que sa correction sont clairement identifiées.

python -m venv venv
╰─❮ pip install -r requirements.txt
error: externally-managed-environment

× This environment is externally managed
╰─> To install Python packages system-wide, try 'pacman -S
python-xyz', where xyz is the package you are trying to
install.

If you wish to install a non-Arch-packaged Python package,
create a virtual environment using 'python -m venv path/to/venv'.
Then use path/to/venv/bin/python and path/to/venv/bin/pip.

If you wish to install a non-Arch packaged Python application,
it may be easiest to use 'pipx install xyz', which will manage a
virtual environment for you. Make sure you have python-pipx
installed via pacman.

note: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.
hint: See PEP 668 for the detailed specification.
╰─❮ source venv/bin/activate.fish
╰─❮ pip install -r requirements.txt
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cpu, https://download.pytorch.org/whl/nightly, https://download.pytorch.org/whl/cpu, https://download.pytorch.org/whl/nightly, https://download.pytorch.org/whl/cpu, https://download.pytorch.org/whl/nightly
Ignoring torch: markers 'platform_machine == "s390x"' don't match your environment
Ignoring torch: markers 'platform_machine == "s390x"' don't match your environment
Collecting numpy~=1.26.4 (from -r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 1))
Using cached numpy-1.26.4-cp314-cp314-linux_x86_64.whl
Collecting sentencepiece<0.3.0,>=0.1.98 (from -r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 2))
Using cached sentencepiece-0.2.2-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (33 kB)
Collecting transformers==4.57.6 (from -r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached transformers-4.57.6-py3-none-any.whl.metadata (43 kB)
Collecting gguf>=0.1.0 (from -r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 6))
Using cached gguf-0.19.0-py3-none-any.whl.metadata (4.1 kB)
Collecting protobuf<5.0.0,>=4.21.0 (from -r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 7))
Using cached protobuf-4.25.9-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes)
Collecting torch==2.11.0 (from -r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached torch-2.11.0%2Bcpu-cp314-cp314-manylinux_2_28_x86_64.whl.metadata (29 kB)
Collecting filelock (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached filelock-3.32.2-py3-none-any.whl.metadata (2.0 kB)
Collecting huggingface-hub<1.0,>=0.34.0 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached huggingface_hub-0.36.2-py3-none-any.whl.metadata (15 kB)
Collecting packaging>=20.0 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Downloading packaging-26.3-py3-none-any.whl.metadata (3.5 kB)
Collecting pyyaml>=5.1 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
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Collecting regex!=2019.12.17 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached regex-2026.7.19-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (40 kB)
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Using cached requests-2.34.2-py3-none-any.whl.metadata (4.8 kB)
Collecting tokenizers<=0.23.0,>=0.22.0 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached tokenizers-0.22.2-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.3 kB)
Collecting safetensors>=0.4.3 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached safetensors-0.8.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.2 kB)
Collecting tqdm>=4.27 (from transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached tqdm-4.70.0-py3-none-any.whl.metadata (57 kB)
Collecting typing-extensions>=4.10.0 (from torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached typing_extensions-4.16.0-py3-none-any.whl.metadata (3.3 kB)
Collecting setuptools<82 (from torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached setuptools-81.0.0-py3-none-any.whl.metadata (6.6 kB)
Collecting sympy>=1.13.3 (from torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached sympy-1.14.0-py3-none-any.whl.metadata (12 kB)
Collecting networkx>=2.5.1 (from torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached networkx-3.6.1-py3-none-any.whl.metadata (6.8 kB)
Collecting jinja2 (from torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
Collecting fsspec>=0.8.5 (from torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached fsspec-2026.7.0-py3-none-any.whl.metadata (10 kB)
Collecting hf-xet<2.0.0,>=1.1.3 (from huggingface-hub<1.0,>=0.34.0->transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Downloading hf_xet-1.6.0-cp38-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (4.9 kB)
Collecting charset_normalizer<4,>=2 (from requests->transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached charset_normalizer-3.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (41 kB)
Collecting idna<4,>=2.5 (from requests->transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached idna-3.18-py3-none-any.whl.metadata (6.1 kB)
Collecting urllib3<3,>=1.26 (from requests->transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached urllib3-2.7.0-py3-none-any.whl.metadata (6.9 kB)
Collecting certifi>=2023.5.7 (from requests->transformers==4.57.6->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_legacy_llama.txt (line 4))
Using cached certifi-2026.7.22-py3-none-any.whl.metadata (2.5 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.11.0->-r /home/luca/bitnet/BitNet/3rdparty/llama.cpp/requirements/requirements-convert_hf_to_gguf.txt (line 5))
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Downloading hf_xet-1.6.0-cp38-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (4.5 MB)
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Installing collected packages: mpmath, urllib3, typing-extensions, tqdm, sympy, setuptools, sentencepiece, safetensors, regex, pyyaml, protobuf, packaging, numpy, networkx, MarkupSafe, idna, hf-xet, fsspec, filelock, charset_normalizer, certifi, requests, jinja2, torch, huggingface-hub, gguf, tokenizers, transformers
Successfully installed MarkupSafe-3.0.3 certifi-2026.7.22 charset_normalizer-3.4.9 filelock-3.32.2 fsspec-2026.7.0 gguf-0.19.0 hf-xet-1.6.0 huggingface-hub-0.36.2 idna-3.18 jinja2-3.1.6 mpmath-1.3.0 networkx-3.6.1 numpy-1.26.4 packaging-26.3 protobuf-4.25.9 pyyaml-6.0.3 regex-2026.7.19 requests-2.34.2 safetensors-0.8.0 sentencepiece-0.2.2 setuptools-81.0.0 sympy-1.14.0 tokenizers-0.22.2 torch-2.11.0+cpu tqdm-4.70.0 transformers-4.57.6 typing-extensions-4.16.0 urllib3-2.7.0

[notice] A new release of pip is available: 26.1.2 -> 26.2.1
[notice] To update, run: pip install --upgrade pip
╰─❮ python setup_env.py -md models/BitNet-b1.58-2B-4T -q i2_s
INFO:root:Compiling the code using CMake.
INFO:root:Loading model from directory models/BitNet-b1.58-2B-4T.
INFO:root:GGUF model already exists at models/BitNet-b1.58-2B-4T/ggml-model-i2_s.gguf
╰─❮ python run_inference.py -m models/BitNet-b1.58-2B-4T/ggml-model-i2_s.gguf -p "how are you, are you good?"
warning: no usable GPU found, --gpu-layers option will be ignored
warning: one possible reason is that llama.cpp was compiled without GPU support
warning: consult docs/build.md for compilation instructions

Loading model...

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build : b9918-390c30775
model : models/BitNet-b1.58-2B-4T/ggml-model-i2_s.gguf
ftype : Q1_0
modalities : text

available commands:
/exit or Ctrl+C stop or exit
/regen regenerate the last response
/clear clear the chat history
/read add a text file
/glob add text files using globbing pattern

how are you, are you good?

Yes, I am good. I am a good person. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes, I am good. Yes,

[ Prompt: 44.9 t/s | Generation: 11.7 t/s ]