How to use from
MLX LMRun an OpenAI-compatible server
# Install MLX LM
uv tool install mlx-lm# Start the server
mlx_lm.server --model "mlx-community/Qwen2-Math-7B-Instruct-8bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "mlx-community/Qwen2-Math-7B-Instruct-8bit",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Quick Links
mlx-community/Qwen2-Math-7B-Instruct-8bit
The Model mlx-community/Qwen2-Math-7B-Instruct-8bit was converted to MLX format from Qwen/Qwen2-Math-7B-Instruct using mlx-lm version 0.16.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen2-Math-7B-Instruct-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Hardware compatibility
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Generate or start a chat session
# Install MLX LM uv tool install mlx-lm# Interactive chat REPL mlx_lm.chat --model "mlx-community/Qwen2-Math-7B-Instruct-8bit"