bnb-4bit-experimental
Collection
experimental 4-bit dynamic quant using unsloth, these model will be used for inference and RoPE fine-tuning.
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9 items
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Updated
This is a converted weight from aya-expanse-8b model in unsloth 4-bit dynamic quant using this collab notebook.
About this Conversion
This conversion uses Unsloth to load the model in 4-bit format and force-save it in the same 4-bit format.
How 4-bit Quantization Works
- The actual 4-bit quantization is handled by BitsAndBytes (bnb), which works under Torch via AutoGPTQ or BitsAndBytes.
- Unsloth acts as a wrapper, simplifying and optimizing the process for better efficiency.
This allows for reduced memory usage and faster inference while keeping the model compact.
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Model tree for huggingkot/aya-expanse-8b-bnb-4bit
Base model
CohereForAI/aya-expanse-8b