Instructions to use mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX" --prompt "Once upon a time"
- Atomic Chat
Download DeepSeek-R1-Distill-Qwen-32B-3bit/tokenizer.json from mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX/resolve/main/DeepSeek-R1-Distill-Qwen-32B-3bit/tokenizer.json
- Command line
-
hf download hf://mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX/DeepSeek-R1-Distill-Qwen-32B-3bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-32B-MLX/resolve/main/DeepSeek-R1-Distill-Qwen-32B-3bit/tokenizer.json
11.4 MB
- Xet hash:
- 78af695675c4fc8453e45a039d33450bec835340edcdac08f9a1af71f046ab0d
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
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