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Official AQLM quantization of google/gemma-2b.

For this quantization, we used 2 codebooks of 8 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
	2x8	0.5801	0.6828	0.3891	0.5791	0.2534	1.6

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

1.02B params

Tensor type

FP16

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Text Generation

This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

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AQLM

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AQLM quantized LLMs • 20 items • Updated Dec 18, 2024 • 46