Instructions to use mlx-community/Qwen2-7B-Instruct-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Qwen2-7B-Instruct-8bit 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/Qwen2-7B-Instruct-8bit") 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/Qwen2-7B-Instruct-8bit 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/Qwen2-7B-Instruct-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/Qwen2-7B-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/Qwen2-7B-Instruct-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Commit History
-
Upload folder using huggingface_hub (#1)
Verified signature- 0756ca93e480822df2d303632588294f9eb873c876e61ce83638fc584f6fac8e (ba5f20f186a0804b5cb8adc26dcd8ee3c03461fb) - 3045b0fa1e3b53aa3ceeafe39cf44611572e561d3e49b40653f750d989901f3a (51285b72a68b3b4e9cac4add6fbb27414d72b138) - af59a61231b32e73e2c60e1bab76e22f62270a13b47b6da3ccad5c68f1874cdd (0db435f53b41783c02b35fa276f59645bbaf902c)77ed165