Instructions to use mlx-community/Qwen2-Math-1.5B-Instruct-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Qwen2-Math-1.5B-Instruct-bf16 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/Qwen2-Math-1.5B-Instruct-bf16") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/Qwen2-Math-1.5B-Instruct-bf16 with MLX LM:
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-1.5B-Instruct-bf16"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/Qwen2-Math-1.5B-Instruct-bf16" # 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-1.5B-Instruct-bf16", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Commit History
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Upload folder using huggingface_hub (#1)
Verified signature- 3d4fb08df25780975cf69f36b9f1664357b5a536784776a9e2f4590a1a10e202 (d6eb169991a6ff61dc5d7a42a825cd516ec4505b) - ad356adad34e8c7869abe4651006a71096102a581b22f3ad8ba728c04457a0b6 (354cc2f8ba126f150738ce16b39ace2d54a1180b)e2378ba