Edit model card

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 16.

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 0.3574 0.3464 0.6793 0.4822 0.7318 0.6275 3.4

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
15
Safetensors
Model size
1.72B params
Tensor type
FP16
·
I16
·
Inference API
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-1Bit-1x16-hf