Official AQLM quantization of meta-llama/Meta-Llama-3.1-70B finetuned with PV-Tuning.

For this quantization, we used 1 codebook of 16 bits and groupsize of 8.

Results:

Model	Quantization	MMLU (5-shot)	ArcC	ArcE	Hellaswag	PiQA	Winogrande	Model size, Gb
	fp16	0.7839	0.6058	0.8729	0.6650	0.8292	0.7964	141
	1x16g8	0.7353	0.4556	0.7731	0.6335	0.7590	0.7703	21.9

Safetensors

Model size

11B params

Tensor type

FP16

I16

Inference Examples

Inference API (serverless) is not available, repository is disabled.

Model tree for ISTA-DASLab/Meta-Llama-3.1-70B-AQLM-PV-2Bit-1x16

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