Instructions to use sjug/DeepSeek-V3.2-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sjug/DeepSeek-V3.2-MLX-4bit 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("sjug/DeepSeek-V3.2-MLX-4bit") 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 sjug/DeepSeek-V3.2-MLX-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "sjug/DeepSeek-V3.2-MLX-4bit" --prompt "Once upon a time"
- Xet hash:
- 28effedab5590fcd1c630d3842637a8ac04fc54fe7490fd2db9bc06ac5f0a615
- Size of remote file:
- 4.23 GB
- SHA256:
- 06dbbd5a3e7fd9f9c934d4dc05da5f63ddf114ffc1943bd1e97131df08e0c88c
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