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Moistral-11B-v2-Dried-GGUF
BeaverLegacy/Moistral-11B-v2-Dried-GGUF
Moistral-11B-v2-Dried-GGUF is a machine learning model from BeaverLegacy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
https://huggingface.co/TheDrummer/Moistral-11B-v2
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30.6 GB
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.gguf30.6 GB · 100%
At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Mar 29, 2024
- Updated
- Apr 28, 2024
- SHA
- 1a5c2153
Model card
From the Hugging Face model README
Original model
https://huggingface.co/TheDrummer/Moistral-11B-v2
tldr;
I tried merging Moistral with its base model and got VERY good results with logic & writing. Try them out!
If you do try it out, please let me know your thoughts! Just tell me which percentages you tried and how they performed. The future of Moistral is in your hands!
Moistral 11B v2, dried up
unmerged model: https://huggingface.co/TheDrummer/Moistral-11B-v2
What is this?
GGUF merges of Moistral 11B v2 and Fimbulvetr v2.
Why merge?
Simply put, the original Moistral v2 can get too moist. It works for some stories, but sometimes you want it to cook.
Which one do I pick?
I'm releasing 5 versions of the merge. The % in the filename represents how much "Fimbulvetr v2" I merged into my finetuned model. The higher the percent, the less moist there is.
Assessment: TBD
Nutshell: All of them are very coherent. Lower percentages = More moist logic & writing.
Added observation: It seems like no matter how moist the situation is, the character reactions are often grounded / realistic. This applies even to 2.5%.
"I found the perfect merge ratio!"
Great! Let me know which one and why. This WILL affect future development.
- License
- cc-by-nc-4.0
- Created
- Mar 29, 2024
- Updated
- Apr 28, 2024