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Llama-2-4.7B
XiaodongChen/Llama-2-4.7B
Llama-2-4.7B is a machine learning model from XiaodongChen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
The model is derived from Llama-2-7b-hf through pruning using LLM-Streamline (Streamlining Redundant Layers to Compress Large Language Models, ICLR 2025 Spotlight). The entire training process required only 0.06B tokens.
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358
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4.7B
9.4 GB on disk
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At a glance
- License
- mit
- Model type
- llama
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025
- SHA
- 71385385
Base models
Model card
From the Hugging Face model README
The model is derived from Llama-2-7b-hf through pruning using LLM-Streamline (Streamlining Redundant Layers to Compress Large Language Models, ICLR 2025 Spotlight). The entire training process required only 0.06B tokens.
Below are the results of the evaluation using lm-eval:
| arc_c | arc_e | boolq | hellaswag | openbookqa | rte | winogrande | Avg | |
|---|---|---|---|---|---|---|---|---|
| Llama-2-7B | 43.3 | 76.4 | 77.7 | 57.2 | 31.4 | 62.8 | 69.1 | 59.7 |
| Llama-2-4.7B | 34.0 | 64.6 | 74.7 | 49.8 | 27.4 | 61.7 | 66.4 | 54.1 |
- Type
- llama
- License
- mit
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025