How to use from
MLX LM
Generate or start a chat session
# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "ucalyptus/llama-3-sqlcoder-8b-MLX"
Run an OpenAI-compatible server
# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "ucalyptus/llama-3-sqlcoder-8b-MLX"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "ucalyptus/llama-3-sqlcoder-8b-MLX",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'
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ucalyptus/llama-3-sqlcoder-8b-MLX

This model was converted to MLX format from defog/llama-3-sqlcoder-8b. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("ucalyptus/llama-3-sqlcoder-8b-MLX")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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