AQLM+PV
Collection
Official AQLM quantizations for "PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression": https://arxiv.org/abs/2405.14852
•
21 items
•
Updated
•
18
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
- 36
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.