I merged two Minimax-H3 Ref2VA finetunes using a custom spectral/geometric algorithm called PRISM:

• Base A: WarmBloodAban/Minimax-h3_Singularity (v2)

• Base B: TenStrip/10Eros-Max (8-Step Turbo beta 6)

Why PRISM?

Merging fast turbo models into base models often introduces weight artifacts and signal degradation. PRISM handles this by:

• Filtering diffuse noise delta using randomized SVD (rank 64).

• Combining directional SLERP with log-space magnitude interpolation (Polar Geodesic).

• Resolving sign conflicts and re-anchoring layer norms.

The turbo block distribution is weighted higher toward time/head blocks t_time: 0.75, t_head: 0.70) with an average turbo share of ~0.55.

Hugging Face Repo & Weights (fp16 + int8 + w6a8):

👉 https://huggingface.co/OliviaRossi/Minimax-h3_Singularity-x-10Eros-Max_PRISM

Feedback and test generations are very welcome!