Instructions to use liodon-ai/sqlcoder-7b-2-imatrix-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 liodon-ai/sqlcoder-7b-2-imatrix-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 liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
Use Docker
docker model run hf.co/liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use liodon-ai/sqlcoder-7b-2-imatrix-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "liodon-ai/sqlcoder-7b-2-imatrix-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "liodon-ai/sqlcoder-7b-2-imatrix-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
- Ollama
How to use liodon-ai/sqlcoder-7b-2-imatrix-GGUF with Ollama:
ollama run hf.co/liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use liodon-ai/sqlcoder-7b-2-imatrix-GGUF with Docker Model Runner:
docker model run hf.co/liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
- Lemonade
How to use liodon-ai/sqlcoder-7b-2-imatrix-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull liodon-ai/sqlcoder-7b-2-imatrix-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.sqlcoder-7b-2-imatrix-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download sqlcoder-7b-2-IQ2_M.gguf from liodon-ai/sqlcoder-7b-2-imatrix-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 2.36 GB
-
https://huggingface.co/liodon-ai/sqlcoder-7b-2-imatrix-GGUF/resolve/main/sqlcoder-7b-2-IQ2_M.gguf
- Command line
-
hf download hf://liodon-ai/sqlcoder-7b-2-imatrix-GGUF/sqlcoder-7b-2-IQ2_M.gguf
-
curl -L -o sqlcoder-7b-2-IQ2_M.gguf https://huggingface.co/liodon-ai/sqlcoder-7b-2-imatrix-GGUF/resolve/main/sqlcoder-7b-2-IQ2_M.gguf
2.36 GB
- Xet hash:
- bf93fbe7d1a12508333d5770a244ce3d6f639a3afa3b77e923fd6a3391557f26
- Size of remote file:
- 2.36 GB
- SHA256:
- 493e51f6f8e454aba4b64ef31b292d6d2324880c3872bc024a8b7d33d133fdd8
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