Create README.md

README.md

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+license: apache-2.0
+tags:
+- OpenAccess AI Collective
+- MPT
+- axolotl
+datasets:
+- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
+- QingyiSi/Alpaca-CoT
+- teknium/GPTeacher-General-Instruct
+- metaeval/ScienceQA_text_only
+- hellaswag
+- openai/summarize_from_feedback
+- riddle_sense
+- gsm8k
+- camel-ai/math
+- camel-ai/biology
+- camel-ai/physics
+- camel-ai/chemistry
+- winglian/evals
+
+inference: false
+---
+
+[<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)
+
+# Minotaur 13B
+
+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.
+
+Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/PugNNHAF5r) or email [wing@openaccessaicollective.org](mailto:wing@openaccessaicollective.org)
+
+# Prompts
+Chat only style prompts using `USER:`,`ASSISTANT:`.
+
+# Training Datasets
+
+Minotaur 13B model is fine-tuned on the following datasets:
+
+- [WizardLM](https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered)
+- [subset of QingyiSi/Alpaca-CoT for roleplay and CoT](https://huggingface.co/QingyiSi/Alpaca-CoT)
+- [GPTeacher-General-Instruct](https://huggingface.co/datasets/teknium/GPTeacher-General-Instruct)
+- [metaeval/ScienceQA_text_only](https://huggingface.co/datasets/metaeval/ScienceQA_text_only) - instruct for concise responses
+- [openai/summarize_from_feedback](https://huggingface.co/datasets/openai/summarize_from_feedback) - instruct augmented tl;dr summarization
+- [camel-ai/math](https://huggingface.co/datasets/camel-ai/math)
+- [camel-ai/physics](https://huggingface.co/datasets/camel-ai/physics)
+- [camel-ai/chemistry](https://huggingface.co/datasets/camel-ai/chemistry)
+- [camel-ai/biology](https://huggingface.co/datasets/camel-ai/biology)
+- [winglian/evals](https://huggingface.co/datasets/winglian/evals) - instruct augmented datasets
+  - custom sysnthetic datasets around misconceptions, in-context qa, jokes, N-tasks problems, and context-insensitivity
+  - ARC-Easy & ARC-Challenge - instruct augmented for detailed responses, derived from the `train` split
+  - [hellaswag](https://huggingface.co/datasets/hellaswag) - 30K+ rows of instruct augmented for detailed explanations w 30K+ rows, derived from the `train` split
+  - [riddle_sense](https://huggingface.co/datasets/riddle_sense) - instruct augmented 
+  - [gsm8k](https://huggingface.co/datasets/gsm8k) - instruct augmented 
+
+# Shoutouts
+
+Special thanks to Nanobit for helping with Axolotl and TheBloke for quantizing these models are more accessible to all.
+
+# Demo
+
+HF Demo in Spaces available at [https://huggingface.co/spaces/openaccess-ai-collective/minotaur-13b](https://huggingface.co/spaces/openaccess-ai-collective/minotaur-13b).  This Space is powered by Runpod Serverless. This helps us keep our compute costs down.
+
+## Release Notes
+
+- https://wandb.ai/wing-lian/minotaur-13b/runs/5zji06u6
+
+## Build
+
+Minotaur was built with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) on 1xA600 48GB
+ - 1 epochs taking approximately 10 hours
+
+## Bias, Risks, and Limitations
+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).
+Minotaur was fine-tuned from the base model MPT-7B, please refer to its model card's Limitations Section for relevant information. (included below)
+
+## Examples - results may vary based on temperature and other settings