Instructions to use cpt-eug/text2sql-llama3sqlcoder-cdm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cpt-eug/text2sql-llama3sqlcoder-cdm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cpt-eug/text2sql-llama3sqlcoder-cdm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use cpt-eug/text2sql-llama3sqlcoder-cdm 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 cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M # Run inference directly in the terminal: llama cli -hf cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M # Run inference directly in the terminal: llama cli -hf cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
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 cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
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 cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
Use Docker
docker model run hf.co/cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use cpt-eug/text2sql-llama3sqlcoder-cdm with Ollama:
ollama run hf.co/cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use cpt-eug/text2sql-llama3sqlcoder-cdm with Docker Model Runner:
docker model run hf.co/cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
- Lemonade
How to use cpt-eug/text2sql-llama3sqlcoder-cdm with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cpt-eug/text2sql-llama3sqlcoder-cdm:Q4_K_M
Run and chat with the model
lemonade run user.text2sql-llama3sqlcoder-cdm-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download adapter_model.safetensors from cpt-eug/text2sql-llama3sqlcoder-cdm: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/cpt-eug/text2sql-llama3sqlcoder-cdm/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://cpt-eug/text2sql-llama3sqlcoder-cdm/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/cpt-eug/text2sql-llama3sqlcoder-cdm/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- cb8f536a6bf4ed331c107f6208097092af1b98d3678fc387b144be0e1433dff0
- Size of remote file:
- 336 MB
- SHA256:
- b6115ac75fa97c86ed44d0ca0771c661b893a75c3a8b3d11ab5baf9573eeb161
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