AQLM+PV
Collection
Official AQLM quantizations for "PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression": https://arxiv.org/abs/2405.14852
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21 items
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Updated
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15
Official AQLM quantization of meta-llama/Meta-Llama-3.1-8B-Instruct 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-Instruct | None | 0.6817 | 0.5162 | 0.8186 | 0.5909 | 0.8014 | 0.7364 | 16.1 |
| 1x16g8 | 0.5966 | 0.4667 | 0.7790 | 0.5582 | 0.7878 | 0.7001 | 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.
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Model tree for ISTA-DASLab/Meta-Llama-3.1-8B-Instruct-AQLM-PV-2Bit-1x16-hf
Base model
meta-llama/Meta-Llama-3.1-8B
Finetuned
meta-llama/Meta-Llama-3.1-8B-Instruct
Quantized
this model