Instructions to use b2z/Smaug-Flash-oQ8-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use b2z/Smaug-Flash-oQ8-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download b2z/Smaug-Flash-oQ8-mtp --local-dir Smaug-Flash-oQ8-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Model size
304B params
Tensor type
U32
·
F32 ·
BF16 ·
I32 ·
Hardware compatibility
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8-bit
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Model tree for b2z/Smaug-Flash-oQ8-mtp
Base model
deepseek-ai/DeepSeek-V4-Flash-0731 Finetuned
abacusai/Smaug-Flash