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README.md
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---
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library_name: transformers
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tags:
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- 4-bit
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- AWQ
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- text-generation
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- Model creator: [Weyaxi](https://huggingface.co/Weyaxi)
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- Original model: [Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B)
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## How to use
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- allenai/ai2_arc
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- camel-ai/physics
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- camel-ai/chemistry
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- camel-ai/biology
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- camel-ai/math
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- metaeval/reclor
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- openbookqa
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- mandyyyyii/scibench
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- derek-thomas/ScienceQA
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- TIGER-Lab/ScienceEval
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- jondurbin/airoboros-3.2
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- LDJnr/Capybara
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- Cot-Alpaca-GPT4-From-OpenHermes-2.5
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- STEM-AI-mtl/Electrical-engineering
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- knowrohit07/saraswati-stem
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- sablo/oasst2_curated
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- lmsys/lmsys-chat-1m
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- TIGER-Lab/MathInstruct
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- bigbio/med_qa
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- meta-math/MetaMathQA-40K
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- openbookqa
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- piqa
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- metaeval/reclor
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- derek-thomas/ScienceQA
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- scibench
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- sciq
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- Open-Orca/SlimOrca
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- migtissera/Synthia-v1.3
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- TIGER-Lab/ScienceEval
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- allenai/WildChat
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- microsoft/orca-math-word-problems-200k
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- openchat/openchat_sharegpt4_dataset
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- teknium/GPTeacher-General-Instruct
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- m-a-p/CodeFeedback-Filtered-Instruction
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- totally-not-an-llm/EverythingLM-data-V3
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- HuggingFaceH4/no_robots
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- OpenAssistant/oasst_top1_2023-08-25
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- WizardLM/WizardLM_evol_instruct_70k
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library_name: transformers
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language:
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- en
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license: other
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tags:
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- axolotl
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- generated_from_trainer
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- instruct
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- finetune
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- chatml
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- gpt4
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- synthetic data
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- science
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- physics
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- chemistry
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- biology
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- math
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- llama
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- llama3
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- 4-bit
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- AWQ
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- text-generation
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- Model creator: [Weyaxi](https://huggingface.co/Weyaxi)
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- Original model: [Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/5s12oq859qLfDkkTNam_C.png)
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## Model Summary
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This model is a full fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/Einstein-v6.1-Llama3-8) on diverse datasets.
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This model is finetuned using `8xRTX3090` + `1xRTXA6000` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
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This model's training was sponsored by [sablo.ai](https://sablo.ai).
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## How to use
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