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 kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
# Run inference directly in the terminal:
llama-cli -hf kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
# Run inference directly in the terminal:
llama-cli -hf kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
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 kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
# Run inference directly in the terminal:
./llama-cli -hf kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
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 kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
Use Docker
docker model run hf.co/kalle07/RynnBrain-8B-heretic_R7_KL004-gguf:F16
Quick Links

original model
https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain-8B

using Heretic v1.2.0
Heretication Results
Refusals 7 and KL = 0.042
One of my first attempts, sorry... but quite good compared to the original.
Now the model not only provides some information, but also fulfils most of your wishes.


THX: Team "P-E-W" for making Heretic software

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