Premise
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.
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.
So those are the main ingredients. Thanks to Nyx for sorting out the pytorch files btw.
GGUF (Small selection of Imatrix and regular k-quants): https://huggingface.co/BlueNipples/DaringLotus-SnowLotus-10.7b-IQ-GGUF
Recipe
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:
- filter: self_attn
value: [0.9, 0.4, 0.1, 0, 0]
- filter: mlp value: [0.05, 0.95]
- value: 0.45
Tentative Dozen or So Test Conclusion
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.
Cheers to all the finetuners, mergers and developers without which open source models wouldn't be half of what they are.
Resources used:
https://huggingface.co/NyxKrage/FrostMaid-10.7B-TESTING-pt
https://huggingface.co/Sao10K/Frostwind-10.7B-v1
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