TheBloke
/

CAMEL-13B-Combined-Data-GPTQ

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-<!-- licensing start -->
-## Licensing
-The creator of the source model has listed its license as `other`, and this quantization has therefore used that same license.
-As this model is based on Llama 2, it is also subject to the Meta Llama 2 license terms, and the license files for that are additionally included. It should therefore be considered as being claimed to be licensed under both licenses. I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. Should this change, or should Meta provide any feedback on this situation, I will update this section accordingly.
-In the meantime, any questions regarding licensing, and in particular how these two licenses might interact, should be directed to the original model repository: [Camel AI's CAMEL 13B Combined Data](https://huggingface.co/camel-ai/CAMEL-13B-Combined-Data).
-<!-- licensing end -->
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 ## Provided files and GPTQ parameters
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 # Original model card: Camel AI's CAMEL 13B Combined Data
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-        <p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p>
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-        <p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
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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)
-<!-- footer start -->
-## 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**: Oscar Rangel, Eugene Pentland, Talal Aujan, Cory Kujawski, Luke, Asp the Wyvern, Ai Maven, Pyrater, Alps Aficionado, senxiiz, Willem Michiel, Junyu Yang, trip7s trip, Sebastain Graf, Joseph William Delisle, Lone Striker, Jonathan Leane, Johann-Peter Hartmann, David Flickinger, Spiking Neurons AB, Kevin Schuppel, Mano Prime, Dmitriy Samsonov, Sean Connelly, Nathan LeClaire, Alain Rossmann, Fen Risland, Derek Yates, Luke Pendergrass, Nikolai Manek, Khalefa Al-Ahmad, Artur Olbinski, John Detwiler, Ajan Kanaga, Imad Khwaja, Trenton Dambrowitz, Kalila, vamX, webtim, Illia Dulskyi.
-Thank you to all my generous patrons and donaters!
-<!-- footer end -->
-# 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<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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 ## Provided files and GPTQ parameters
 # Original model card: Camel AI's CAMEL 13B Combined Data
+No original model card was available.