How to build llama.cpp python bindings
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Description
Hello
The readMe advises to Launch setup_env python script, that will recompile llama-cpp-cli exécutable.
I want to easily integrate the optimized new llama-cpp in a gradio or streamlit python app: how to proceed ? (As i can’t use Transformers python api since performances are lower, as explained from Hugging Face page).
Do I need to recompile llama-cpp (and then python bindings ), and if yes, how to benefit from all the 1-bit (bitNet) of this repo ?
Thanks.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the README and the setup_env Python script mentioned in the issue, tracing how it rebuilds the llama-cpp-cli executable and how Python bindings are expected to be built. Compare that process with the requested Gradio or Streamlit integration and BitNet's 1-bit support. Done would be documented, reproducible steps for using the optimized bindings in a Python app.
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Assessment
- Tech stack
- huggingface, python, streamlit
- Domain
- ai, backend, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100