AQLM+PV
Collection
Official AQLM quantizations for "PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression": https://arxiv.org/abs/2405.14852
•
25 items
•
Updated
•
18
Official AQLM quantization of meta-llama/Llama-3.2-3B finetuned with PV-Tuning.
For this quantization, we used 2 codebooks of 8 bits and groupsize of 8.
Results:
| Model | Quantization | MMLU (5-shot) | ArcC | ArcE | Hellaswag | PiQA | Winogrande | Model size, Gb |
|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-3B-Instruct | fp16 | 0.5984 | 0.4369 | 0.7428 | 0.5224 | 0.7579 | 0.6732 | 6.4 |
| 2x8g8 | 0.4842 | 0.3686 | 0.7066 | 0.4833 | 0.7274 | 0.6346 | 1.5 |
- Downloads last month
- 7
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.
Model tree for ISTA-DASLab/Llama-3.2-3B-Instruct-AQLM-PV-2Bit-2x8
Base model
meta-llama/Llama-3.2-3B-Instruct