Official AQLM quantization of meta-llama/Meta-Llama-3.1-8B 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
meta-llama/Meta-Llama-3.1-8B None 0.6521 0.5145 0.8144 0.5998 0.8014 0.7356 16.1
1x16g8 0.5746 0.4454 0.7744 0.5629 0.7954 0.7024 4.1

Note

We used lm-eval=0.4.0 for evaluation.

UPD (09.08.2024)

Uploaded new version finetuned on more data for longer with better quality.

Downloads last month
55
Safetensors
Model size
2.04B params
Tensor type
FP16
·
I16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Collection including ISTA-DASLab/Meta-Llama-3.1-8B-AQLM-PV-2Bit-1x16-hf