Instructions to use ericflo/Llama-3.1-SyntheticPython-8B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ericflo/Llama-3.1-SyntheticPython-8B-Base with 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 ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16 # Run inference directly in the terminal: llama cli -hf ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16 # Run inference directly in the terminal: llama cli -hf ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
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 ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16 # Run inference directly in the terminal: ./llama-cli -hf ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
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 ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
Use Docker
docker model run hf.co/ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
- LM Studio
- Jan
- Ollama
How to use ericflo/Llama-3.1-SyntheticPython-8B-Base with Ollama:
ollama run hf.co/ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
- Unsloth Desktop
- Docker Model Runner
How to use ericflo/Llama-3.1-SyntheticPython-8B-Base with Docker Model Runner:
docker model run hf.co/ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
- Lemonade
How to use ericflo/Llama-3.1-SyntheticPython-8B-Base with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ericflo/Llama-3.1-SyntheticPython-8B-Base:BF16
Run and chat with the model
lemonade run user.Llama-3.1-SyntheticPython-8B-Base-BF16
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 329dd31d7eca3a301a7e1aa676a9d3b01470901ed90e8a8b2f52781d06167076
- Size of remote file:
- 5 GB
- SHA256:
- 8857db3a766b54a9fe35fdc77fa50602a95ea9597f9638f6d5d51400b4902027
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