Instructions to use mlx-community/DeepSeek-V3.2_bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/DeepSeek-V3.2_bf16 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-V3.2_bf16") 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-V3.2_bf16 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-V3.2_bf16" --prompt "Once upon a time"
- Atomic Chat
- Xet hash:
- 2aae1442c85502f9bbe63a1a8c7495f31e894bc07b40dc0b476b290e68fd9d55
- Size of remote file:
- 494 MB
- SHA256:
- 1bdb14ad1937179feddcf4d14add48e107ab67b6c30cac33b70a74a104d93304
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