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--- |
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license: other |
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inference: false |
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--- |
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<!-- header start --> |
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<div style="width: 100%;"> |
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<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<div style="display: flex; justify-content: space-between; width: 100%;"> |
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<p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p> |
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<div style="display: flex; flex-direction: column; align-items: flex-end;"> |
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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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</div> |
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</div> |
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## Dromedary-65B-LoRA HF |
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These files are the result of merging the [delta weights of IBM's Dromedary 65B LoRA](https://huggingface.co/zhiqings/dromedary-65b-lora-delta-v0) with the original Llama 65B model. |
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## Repositories available |
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* [4bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/dromedary-65B-lora-GPTQ) |
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* [4bit and 5bit GGML models for CPU inference in llama.cpp](https://huggingface.co/TheBloke/dromedary-65B-lora-GGML) |
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* [float16 unquantised model for GPU](https://huggingface.co/TheBloke/dromedary-65B-lora-HF) |
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## Discord |
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For further support, and discussions on these models and AI in general, join us at: |
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[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD) |
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## Thanks, and how to contribute. |
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Thanks to the [chirper.ai](https://chirper.ai) team! |
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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. |
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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. |
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Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits. |
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* Patreon: https://patreon.com/TheBlokeAI |
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* Ko-Fi: https://ko-fi.com/TheBlokeAI |
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**Patreon special mentions**: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman. |
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Thank you to all my generous patrons and donaters! |
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# Original Dromedary Model Card |
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See https://github.com/IBM/Dromedary#model-weights for instructions. |
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## Model details |
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<img src="https://raw.githubusercontent.com/IBM/Dromedary/main/assets/images/dromedary_logo.svg" alt="Dromedary Logo"/> |
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**Model type:** |
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Dromedary is an open-source self-aligned language model trained with minimal human supervision. |
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The base language model is LLaMA-65b, based on the transformer architecture. |
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**Model date:** |
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Dromedary was trained between April 2023 and May 2023, but its knowledge only goes up until Sept-2021. |
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**Organizations developing the model:** |
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The Dromedary team as a joint effort between CMU and IBM. |
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**Paper or resources for more information:** |
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https://mitibmdemos.draco.res.ibm.com/dromedary |
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**License:** |
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LLaMA's Non-commercial bespoke license |
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**Where to send questions or comments about the model:** |
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https://github.com/IBM/Dromedary/issues |
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## Intended use |
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**Primary intended uses:** |
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The primary use of Dromedary is research on the alignment of large language models. |
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**Primary intended users:** |
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The primary intended users of the model are researchers in artificial intelligence. |
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## Delta weights |
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We use the following configuration for the LoRA weights: |
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``` |
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--lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' \ |
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--lora_r=16 \ |
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``` |
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## Training dataset |
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Fewer than 300 lines of human annotations (including < 200 seed prompts, 16 generic principles, and 5 exemplars for in-context learning), |
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## Evaluation dataset |
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We evaluate Dromedary on TruthfulQA and HHH Eval, as well as Vicuna benchmark questions. |
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