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README.md
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---
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license: apache-2.0
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tags:
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- OpenAccess AI Collective
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- MPT
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- axolotl
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datasets:
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- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
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- QingyiSi/Alpaca-CoT
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- teknium/GPTeacher-General-Instruct
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- metaeval/ScienceQA_text_only
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- hellaswag
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- openai/summarize_from_feedback
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- riddle_sense
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- gsm8k
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- camel-ai/math
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- camel-ai/biology
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- camel-ai/physics
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- camel-ai/chemistry
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- winglian/evals
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inference: false
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---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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**[💵 Donate to OpenAccess AI Collective](https://github.com/sponsors/OpenAccess-AI-Collective) to help us keep building great tools and models!**
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# Due to a bug, the first version dropped a few datasets during training. We've corrected the issue and retrained the model
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# Minotaur 13B (FIXED)
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Minotaur 13B is an instruct fine-tuned model on top of LlaMA-13B. Minotaur 13B is fine-tuned **on only completely open datasets** making this model reproducible by anyone.
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Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/PugNNHAF5r) or email [[email protected]](mailto:[email protected])
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# Prompts
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Chat only style prompts using `USER:`,`ASSISTANT:`.
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<img src="https://huggingface.co/openaccess-ai-collective/minotaur-13b/resolve/main/minotaur.png" alt="minotaur" width="600" height="500"/>
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# Training Datasets
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Minotaur 13B model is fine-tuned on the following openly available datasets:
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- [WizardLM](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered)
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- [subset of QingyiSi/Alpaca-CoT for roleplay and CoT](https://huggingface.co/QingyiSi/Alpaca-CoT)
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- [GPTeacher-General-Instruct](https://huggingface.co/datasets/teknium/GPTeacher-General-Instruct)
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- [metaeval/ScienceQA_text_only](https://huggingface.co/datasets/metaeval/ScienceQA_text_only) - instruct for concise responses
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- [openai/summarize_from_feedback](https://huggingface.co/datasets/openai/summarize_from_feedback) - instruct augmented tl;dr summarization
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- [camel-ai/math](https://huggingface.co/datasets/camel-ai/math)
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- [camel-ai/physics](https://huggingface.co/datasets/camel-ai/physics)
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- [camel-ai/chemistry](https://huggingface.co/datasets/camel-ai/chemistry)
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- [camel-ai/biology](https://huggingface.co/datasets/camel-ai/biology)
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- [winglian/evals](https://huggingface.co/datasets/winglian/evals) - instruct augmented datasets
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- custom sysnthetic datasets around misconceptions, in-context qa, jokes, N-tasks problems, and context-insensitivity
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- ARC-Easy & ARC-Challenge - instruct augmented for detailed responses, derived from the `train` split
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- [hellaswag](https://huggingface.co/datasets/hellaswag) - 30K+ rows of instruct augmented for detailed explanations w 30K+ rows, derived from the `train` split
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- [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented, derived from the `train` split
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- [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented, derived from the `train` split
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- prose generation
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# Shoutouts
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Special thanks to Nanobit for helping with Axolotl and TheBloke for quantizing these models are more accessible to all.
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# Demo
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HF Demo in Spaces available in the [Community ChatBot Arena](https://huggingface.co/spaces/openaccess-ai-collective/rlhf-arena) under the OAAIC Chatbots tab.
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## Release Notes
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- https://wandb.ai/wing-lian/minotaur-13b/runs/5ystr7w6/workspace
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## Build
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Minotaur was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 6XA100 80GB
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- 1 epochs taking approximately 7.5 hours
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## Bias, Risks, and Limitations
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Minotaur has not been aligned to human preferences with techniques like RLHF or deployed with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so).
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Minotaur was fine-tuned from the base model LLaMA-13B, please refer to its model card's Limitations Section for relevant information. (included below)
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## Benchmarks
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TBD
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## Examples - results may vary based on temperature and other settings
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TBD
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