Abiray/10Eros-Max-Turbo-Beta7-GGUF

10Eros-Max-Turbo-Beta7 (GGUF Quantizations)

This repository provides community-quantized GGUF weights for 10Eros-Max-Turbo-Beta7, an experimental 8-step turbo hybrid model created by TenStrip based on the MiniMax-H3 architecture.

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🚀 What's New in Beta 7?

Beta 7 refines the merge methodology by converting LoRA data into MLP-only weights merged with a magnitude cap, leaving the base MiniMax-H3 attention layers and reference gates 100% intact. This enables ultra-fast 8-step turbo sampling while preserving deep texture fidelity, realistic fluid physics, and native audio-visual synchronization.

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📦 Available GGUF Quantizations

Quantization	File Size	Quality / Notes
Q3_K_M	8.9 GB	Balanced ultra-low VRAM option.
Q4_K_S	11.6 GB	Smaller footprint Q4 variant.
Q4_K_M	11.6 GB	🌟 The Community Golden Standard (Best balance of speed, VRAM, and micro-texture).
Q5_K_S	14.1 GB	High-fidelity 5-bit lower tier.
Q5_K_M	14.1 GB	Near-lossless visual texture retention.

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🛠️ ComfyUI Integration Guide

To run these GGUF files in ComfyUI:

1. Ensure you have ComfyUI-GGUF installed (git clone https://github.com/city96/ComfyUI-GGUF in your custom_nodes directory).
2. Download your preferred .gguf file (e.g., 10Eros-Max-Turbo-Beta7-Q4_K_M.gguf) and place it in your ComfyUI/models/diffusion_models/ folder.
3. Load the model using the UnetLoaderGGUF node.

Recommended Generation Settings (Beta 7 8-Step Turbo)

• Resolution: 1280 x 720 (720p) or 1920 x 1088 (1080p native sweet spot).
• Steps: Exactly 6 to 8 steps (Turbo optimized).
• CFG Scale: 1.0 to 1.5 (Higher CFG values will oversaturate or burn the output).
• Sampler / Scheduler: res_multistep or euler with simple scheduler.
• Important: Keep SLA sparsity, Spectrum, and TeaCache disabled (they interfere with H3 hybrid gate accuracy).

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⚖️ Licensing & Attribution

• Base Architecture: MiniMax H3, licensed under the MiniMax H3 Community License Agreement (Copyright © 2026 MiniMax).
• Model Weights: 10Eros-Max by TenStrip.
• GGUF Conversion & Packaging: Maintained by Abiray.