bnb-4bit-experimental
Collection
experimental 4-bit dynamic quant using unsloth, these model will be used for inference and RoPE fine-tuning.
•
9 items
•
Updated
This is a converted weight from L3-8B-Stheno-v3.2 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.
- Downloads last month
- 14
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Model tree for huggingkot/L3-8B-Stheno-v3.2-bnb-4bit
Base model
Sao10K/L3-8B-Stheno-v3.2