GGUF
English
How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Himitsui/MedMitsu-GGUF:
# Run inference directly in the terminal:
llama-cli -hf Himitsui/MedMitsu-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Himitsui/MedMitsu-GGUF:
# Run inference directly in the terminal:
llama-cli -hf Himitsui/MedMitsu-GGUF:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Himitsui/MedMitsu-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf Himitsui/MedMitsu-GGUF:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Himitsui/MedMitsu-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Himitsui/MedMitsu-GGUF:
Use Docker
docker model run hf.co/Himitsui/MedMitsu-GGUF:
Quick Links

Included in this repo is the GGUF Quants for the finetune over the base, and/or instruct model.

(☯‿├┬┴┬┴┬┴┬┴┤(・_├┬┴┬┴┬┴┬┴┤・ω・)ノ

Hiya! This is my 11B Solar Finetune.

Included in the dataset I used to train are 32K Entries of Medical Data, 11K Rows of Raw Medical Text and lastly, 3K entries of Instruction Tasks (・_・ヾ)

Alpaca or Regular Chat Format Works Fine :)

(。・ˇ_ˇ・。) You should not use an AI model to verify and confirm any medical conditions due to the possibility of Hallucinations, but it is a good starting point (ノ◕ヮ◕)ノ*:・゚✧

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GGUF
Model size
11B params
Architecture
llama
Hardware compatibility
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