GGUF
English
How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jeiku/Foundation_3B_GGUF:
# Run inference directly in the terminal:
llama cli -hf jeiku/Foundation_3B_GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jeiku/Foundation_3B_GGUF:
# Run inference directly in the terminal:
llama cli -hf jeiku/Foundation_3B_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 jeiku/Foundation_3B_GGUF:
# Run inference directly in the terminal:
./llama-cli -hf jeiku/Foundation_3B_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 jeiku/Foundation_3B_GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jeiku/Foundation_3B_GGUF:
Use Docker
docker model run hf.co/jeiku/Foundation_3B_GGUF:
Quick Links

This is a big step forward for 3B class models. Trained on smol PIPPA, alpaca-cleaned, and two custom datasets, and based on https://huggingface.co/jeiku/Rosa_v3_3B

This should serve as a decent fiction model, though it also excels at roleplaying, but is not an ideal model for logical queries or riddles.

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GGUF
Model size
3B params
Architecture
stablelm
Hardware compatibility
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