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license: apache-2.0 |
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tags: |
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- Roleplay |
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- Solar |
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- Mistral |
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- Text Generation |
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--- |
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![SnowLotus Logo](https://cdn-uploads.huggingface.co/production/uploads/64bb1109aaccfd28b023bcec/gTQtPK46laLIFg0RTAv73.png) |
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### Premise |
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So this is a basic slerp merge between a smart model and a good prose model. Prose and smarts. What we all want in an uncensored RP model right? I feel like Solar has untapped potential, in any case. |
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Sao10K's Frostwind finetune is a key component of the mixture, its smarts are impressive. NyxKrage's Frostmaid experiment, which merges Frostwind with a frankenmerge of Noromaid and a mystery medical model, delivers quite impressive prose. His model creatively incorporates long-range context and instructions too, despite being slightly incoherent due to the fraken merging. |
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So those are the main ingredients. Thanks to Nyx for sorting out the pytorch files btw. |
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GGUF (Small selection of Imatrix and regular k-quants): https://huggingface.co/BlueNipples/DaringLotus-SnowLotus-10.7b-IQ-GGUF |
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### Recipe |
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So, the recipe. I added solardoc by Nyx to frostwind at a 0.15 weight, and the gradient SLERP'd Frostwind (+solardoc) into Frostmaid with these params: |
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- filter: self_attn |
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value: [0.9, 0.4, 0.1, 0, 0] |
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- filter: mlp |
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value: [0.05, 0.95] |
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- value: 0.45 |
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### Tentative Dozen or So Test Conclusion |
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This model seems to have better prose, less GPT-ish language and no degredation in coherency from the last version whilst retaining coherency from FrostWind (plus medical lora). I'm very pleased with this now, it's exactly what I wanted, basically Nyx's Frostmaid but smarter. |
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Cheers to all the finetuners, mergers and developers without which open source models wouldn't be half of what they are. |
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Resources used: |
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https://huggingface.co/NyxKrage/FrostMaid-10.7B-TESTING-pt |
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https://huggingface.co/Sao10K/Frostwind-10.7B-v1 |
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https://huggingface.co/NyxKrage/Solar-Doc-10.7B-Lora |
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https://github.com/cg123/mergekit/tree/main |