llama-cpp-python
llama-cpp
wheel
windows
cuda-12
blackwell
sm_100
sm_90
sm_89
sm_86
sm_80
sm_75
sm_72
sm_70
sm_62
sm_61
cp312
Instructions to use trajis-tech/llama-cpp-python-trajis-tech-nonavx512-cuda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use trajis-tech/llama-cpp-python-trajis-tech-nonavx512-cuda with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="trajis-tech/llama-cpp-python-trajis-tech-nonavx512-cuda", filename="{{GGUF_FILE}}", )output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 941de22a2766dd0caf241a36059c7b27ce3fdb4a114b6f916d76dc13c154c20e
- Size of remote file:
- 479 MB
- SHA256:
- ff5605e3b812b34b879ee41969cc5d8a199dca5dd4f465825ce8aa20ebcd0f54
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