Create README.md
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README.md
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---
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license: llama2
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language:
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- en
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pipeline_tag: conversational
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tags:
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- Xwin
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- Euryale 1.3
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- Platypus2
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- WinterGoddess
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- frankenmerge
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- dare
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- ties
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- 90b
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---
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# BigWeave v9 90B
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600>
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The BigWeave models aim to identify merge settings equaling or surpassing the performance of Goliath-120b. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.
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This version is a DARE-TIES merge of two passthrough merges: Xwin-LM-70b-v0.1 + Euryale-1.3-70b ([BigWeave v6](https://huggingface.co/llmixer/BigWeave-v6-90b)) and Platypus2-70b-instruct + WinterGoddess-1.4x-70b (BigWeave v8). Both models individually show strong performance, and the merged model achieves even lower perplexity than each model separately.
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The 90b size allows for 4bit quants to fit into 48GB of VRAM.
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# Prompting Format
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Vicuna and Alpaca.
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# Merge process
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The models used in the merge are [Xwin-LM-70b-v0.1](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1), [Euryale-1.3-70b](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B), [Platypus2-70b-instruct](https://huggingface.co/garage-bAInd/Platypus2-70B-instruct) and [WinterGoddess-1.4x-70b](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2).
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# Acknowledgements
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[@Xwin-LM](https://huggingface.co/Xwin-LM) For creating Xwin
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[@Sao10K](https://huggingface.co/Sao10K) For creating Euryale and WinterGoddess
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[@garage-bAInd](https://huggingface.co/garage-bAInd) For creating Platypus2
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[@alpindale](https://huggingface.co/alpindale) For creating the original Goliath
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[@chargoddard](https://huggingface.co/chargoddard) For developing [mergekit](https://github.com/cg123/mergekit).
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