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CAMEL-13B-Combined-Data is a chat large language model obtained by finetuning LLaMA-13B model on a total of 229K conversations collected through our [CAMEL](https://arxiv.org/abs/2303.17760) framework, 100K English public conversations from ShareGPT that can be found [here](https://github.com/lm-sys/FastChat/issues/90#issuecomment-1493250773), and 52K instructions from Alpaca dataset that can be found [here](https://github.com/tatsu-lab/stanford_alpaca/blob/761dc5bfbdeeffa89b8bff5d038781a4055f796a/alpaca_data.json). We evaluate our model offline using EleutherAI's language model evaluation harness used by Huggingface's Open LLM Benchmark. CAMEL<sup>*</sup>-13B scores an average of **58.1**, outperfroming LLaMA-30B (58.3), and on par with LLaMA-65B(58.1)!
| Model | size | ARC-C (25 shots, acc_norm) | HellaSwag (10 shots, acc_norm) | MMLU (5 shots, acc_norm) | TruthfulQA (0 shot, mc2) | Average | Delta |
|-------------|:----:|:---------------------------:|:-------------------------------:|:-------------------------:|:-------------------------:|:-------:|-------|
| LLaMA | 13B | 50.8 | 78.9 | 37.7 | 39.9 | 51.8 | - |
| Vicuna | 13B | 47.4 | 75.2 | 39.6 | 49.8 | 53.7 | 1.9 |
| CAMEL<sup>*</sup> | 13B | 55.5 | 79.3 | 50.3 | 47.3 | 58.1 | 6.3 |
| LLaMA | 65B | 57.8 | 84.2 | 48.8 | 42.3 | **58.3** | 6.5 |
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license: cc-by-nc-4.0
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