Added evaluation results

README.md

@@ -11,10 +11,14 @@ tags:
 Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3.1-8B
 ](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) finetuned with [PV-Tuning](https://arxiv.org/abs/2405.14852).
 
-For this quantization, we used 1 codebook of 16 bits and groupsize of 16.
+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 |
-|  | 1x16g16 | 0.3057 | 0.2952	| 0.5981 | 0.4457 | 0.7138 | 0.5912 | 3.4 |
+|  | 1x16g8 | 0.5524 | 0.4437 | 0.7765 | 0.5603	| 0.7797 | 0.6851 | 4.1 |
+
+**Note**
+
+We used `lm-eval=0.4.0` for evaluation.