Joey Grasty
e25ee046a3
llama.cpp-based implementation of the countbayesie Future-Entropy Sampler, built via a direct ctypes binding to libllama.so. Includes a one-shot CLI (entropy_cli.py), an OpenAI-compatible server (entropy_server.py), and the tuning/benchmark scripts used to derive the alpha/confidence-threshold defaults documented in the README. Model path and llama.cpp library path are now read from environment variables (ENTROPY_SAMPLER_MODEL, LLAMA_CPP_LIB) instead of being hardcoded, and gguf-py is pulled from PyPI instead of a local llama.cpp checkout, so this runs on any machine with a compatible llama.cpp build and model.
6 lines
63 B
Plaintext
6 lines
63 B
Plaintext
numpy>=2.0
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gguf>=0.16
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jinja2>=3.1
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fastapi>=0.110
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uvicorn>=0.30
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