SuperbEmphasis / Velvet-Eclipse-v0.1-3x12B-MoE

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Total runs: 4
24-hour runs: 0
7-day runs: -1
30-day runs: -1
Model's Last Updated: April 18 2025

Introduction of Velvet-Eclipse-v0.1-3x12B-MoE

Model Details of Velvet-Eclipse-v0.1-3x12B-MoE

I have been wanting a better model for RP on a 24GB Nvidia card. And there are some great models out there, but I wanted something that I knew I could quantize to Q4, have a great context size, have a very fast response, and would provide some dynamic content. The total is around 30B, but since there are 2/3 models active, the response is quite fast!

so enter velvet eclipse. This is using 3x Mistral Nemo finetunes, each with a separate purpose.

  • A reasoning model as the base
  • A RP fine tune
  • an ERP fine tune.

Many of the mergekit MoEs I have found, frequently combine several experts that excel in the same areas, I felt ensuring three models with 3 different purposes would be a better fit.

I was hoping to make the reasoning mistral fine tune always active, but I had trouble getting that working with mergekit and Mistral models. If I can get that working I'll be very happy.

I'll update the repo with more specifics soon!

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Velvet-Eclipse-v0.1-3x12B-MoE is an open source model from GitHub that offers a free installation service, and any user can find Velvet-Eclipse-v0.1-3x12B-MoE on GitHub to install. At the same time, huggingface.co provides the effect of Velvet-Eclipse-v0.1-3x12B-MoE install, users can directly use Velvet-Eclipse-v0.1-3x12B-MoE installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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