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Official AQLM quantization of google/gemma-2b.

For this quantization, we used 1 codebook of 16 bits.

Results (0-shot acc):

Model	Quantization	WinoGrande	PiQA	HellaSwag	ArcE	ArcC	Model size, Gb
gemma-2b	None	0.6472	0.7715	0.5279	0.7403	0.4053	5.0
	1x16	0.6275	0.7318	0.4582	0.6923	0.3259	1.7

To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the official GitHub repo.

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Safetensors

Model size

839M params

Tensor type

FP16

I16

Inference Examples

Text Generation

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Collection including ISTA-DASLab/gemma-2b-AQLM-2Bit-1x16-hf

AQLM

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AQLM quantized LLMs • 20 items • Updated May 3 • 44