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TheBlokeAI

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# Camel AI's CAMEL 13B Combined Data fp16 These files are pytorch format fp16 model files for [Camel AI's CAMEL 13B Combined Data](https://huggingface.co/camel-ai/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](https://huggingface.co/TheBloke/CAMEL-13B-Combined-Data-fp16) * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/CAMEL-13B-Combined-Data-GGML) * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/TheBloke/CAMEL-13B-Combined-Data-fp16) ## Discord For further support, and discussions on these models and AI in general, join us at: [TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD) ## Thanks, and how to contribute. Thanks to the [chirper.ai](https://chirper.ai) team! I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training. If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects. Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits. * Patreon: https://patreon.com/TheBlokeAI * Ko-Fi: https://ko-fi.com/TheBlokeAI **Special thanks to**: Luke from CarbonQuill, Aemon Algiz, Dmitriy Samsonov. **Patreon special mentions**: Ajan Kanaga, Kalila, Derek Yates, Sean Connelly, Luke, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, trip7s trip, Jonathan Leane, Talal Aujan, Artur Olbinski, Cory Kujawski, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Johann-Peter Hartmann. Thank you to all my generous patrons and donaters! # 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](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*-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 |