Instructions to use WEED-EATER/DeepSeek-4-Flash-JANG-3M-Quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use WEED-EATER/DeepSeek-4-Flash-JANG-3M-Quantized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-4-Flash-JANG-3M-Quantized WEED-EATER/DeepSeek-4-Flash-JANG-3M-Quantized
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
JANG 3M Quantization of DeepSeek-V4-Flash That's all this is, nothing special. Saves you downloading the big model and having to quant it yourself. It doesn't work lmao
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Model size
19B params
Tensor type
U32
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F16 ·
Hardware compatibility
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Model tree for WEED-EATER/DeepSeek-4-Flash-JANG-3M-Quantized
Base model
deepseek-ai/DeepSeek-V4-Flash