Added evaluation metrics
Browse files
README.md
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
tags:
|
4 |
+
- aqlm
|
5 |
+
- llama
|
6 |
+
- facebook
|
7 |
+
- meta
|
8 |
+
- llama-3
|
9 |
+
- conversational
|
10 |
+
- text-generation-inference
|
11 |
+
base_model: meta-llama/Llama-3.2-1B-Instruct
|
12 |
+
---
|
13 |
+
|
14 |
+
Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Llama-3.2-1B
|
15 |
+
](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) finetuned with [PV-Tuning](https://arxiv.org/abs/2405.14852).
|
16 |
+
|
17 |
+
For this quantization, we used 2 codebooks of 8 bits and groupsize of 8.
|
18 |
+
|
19 |
+
Results:
|
20 |
+
| Model | Quantization | MMLU (5-shot) | ArcC | ArcE | Hellaswag | PiQA | Winogrande | Model size, Gb |
|
21 |
+
|-------|--------------|---------------|--------|--------|-----------|--------|------------|----------------|
|
22 |
+
| meta-llama/Llama-3.2-1B-Instruct | fp16 | 0.4551 | 0.3584 | 0.6856 | 0.4520 | 0.7432 | 0.5951 | 2.5 |
|
23 |
+
| | 2x8g8 | 0.2886 | 0.2918 | 0.6065 | 0.3990 | 0.7057 | 0.5746 | 0.8 |
|