Camel AI's CAMEL 13B Combined Data fp16
These files are pytorch format fp16 model files for Camel AI's CAMEL 13B Combined Data.
It is the result of merging and/or converting the source repository to float16.
Repositories available
- 4-bit GPTQ models for GPU inference
- 2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference
- Unquantised fp16 model in pytorch format, for GPU inference and for further conversions
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Original model card: Camel AI's CAMEL 13B Combined Data
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 framework, 100K English public conversations from ShareGPT that can be found here, and 52K instructions from Alpaca dataset that can be found here. We evaluate our model offline using EleutherAI's language model evaluation harness used by Huggingface's Open LLM Benchmark. CAMEL*-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* | 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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