Instructions to use YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit 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("YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit") 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 YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer.json from YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/YuHaaa/Skywork-OR1-32B-Preview-mlx-6Bit/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 499df6dc139681efc17fb5762eb1a2c44754f57e1815f026d49ae789420a650b
- Size of remote file:
- 11.4 MB
- SHA256:
- 86dc2cb1d564d47fdec1bfca30f68a921c81ee9667f69a0ec69f925a96d8bdc4
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