Instructions to use at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF 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 at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF 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 at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16 # Run inference directly in the terminal: llama cli -hf at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16 # Run inference directly in the terminal: llama cli -hf at-aaims-epic/llama-3-sqlcoder-8b-F16-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 at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf at-aaims-epic/llama-3-sqlcoder-8b-F16-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 at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16
Use Docker
docker model run hf.co/at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16
- LM Studio
- Jan
- Ollama
How to use at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF with Ollama:
ollama run hf.co/at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF with Docker Model Runner:
docker model run hf.co/at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16
- Lemonade
How to use at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF:F16
Run and chat with the model
lemonade run user.llama-3-sqlcoder-8b-F16-GGUF-F16
List all available models
lemonade list
- Atomic Chat
Download training_args.bin from at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF/resolve/main/training_args.bin
- Command line
-
hf download hf://at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/at-aaims-epic/llama-3-sqlcoder-8b-F16-GGUF/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 5800c53cfb613e70c4276ea59bee9ccbd4fbaf41d02c0561b2c908036baa4b61
- Size of remote file:
- 5.11 kB
- SHA256:
- a5b830ad96e6ef339827c8f2f199064d80617e6d5143ed38868d24ee5802a509
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.