yahma/alpaca-cleaned
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How to use jeiku/Foundation_3B_GGUF with llama.cpp:
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:Q2_K # Run inference directly in the terminal: llama cli -hf jeiku/Foundation_3B_GGUF:Q2_K
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf jeiku/Foundation_3B_GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf jeiku/Foundation_3B_GGUF:Q2_K
# 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:Q2_K # Run inference directly in the terminal: ./llama-cli -hf jeiku/Foundation_3B_GGUF:Q2_K
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:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf jeiku/Foundation_3B_GGUF:Q2_K
docker model run hf.co/jeiku/Foundation_3B_GGUF:Q2_K
How to use jeiku/Foundation_3B_GGUF with Ollama:
ollama run hf.co/jeiku/Foundation_3B_GGUF:Q2_K
How to use jeiku/Foundation_3B_GGUF with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for jeiku/Foundation_3B_GGUF to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for jeiku/Foundation_3B_GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jeiku/Foundation_3B_GGUF to start chatting
How to use jeiku/Foundation_3B_GGUF with Docker Model Runner:
docker model run hf.co/jeiku/Foundation_3B_GGUF:Q2_K
How to use jeiku/Foundation_3B_GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jeiku/Foundation_3B_GGUF:Q2_K
lemonade run user.Foundation_3B_GGUF-Q2_K
lemonade list
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:# 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: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:docker model run hf.co/jeiku/Foundation_3B_GGUF: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.
2-bit
6-bit
16-bit
Install (macOS, Linux)
# 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: