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AI 모델 84753

• Qwen3.8-Flash-Next-MTP-C2T8-refit-GGUF↗

  Jrouth

• realcartoonXL-v6↗

  jzli

• medgemma-4b-it-MLX-4bit↗

  lmstudio-community

• Kimodo-SOMA-SEED-v1.1-GGML↗

  LocalAI-io

• Qwen3.8-27B-MLX-2bit↗

  majentik

• LFM2.5-2.6B-Wolof-Instruct-v3-GGUF↗

  mamelles

• CTFsolver-Q8_0-GGUF↗

  MarkBruzon

• GLM-5.2-colibri-E8-IQ3-with-int8-mtp↗

  mastouri

• minimax-h3-nvfp4↗

  MATLOWAI

  An NVFP4 quantisation of the MiniMax H3 pruned FL2VA diffusion model for ComfyUI. Every one of the 200 block linears (qkv, out, fc1, fc2 in all 50 blocks) is stored as fp4 e2m1 with fp8 e4m3 block scales of 16 and one fp32 per-tensor scale; embeds, token refiner, norms and heads stay bf16. On Blackwell (sm120) the GEMMs run natively on the fp4 tensor cores. **Modification notice (required by the license): this repository contains a modified version of MiniMax H3. The modification is post-training weight quantisation of the block linears to NVFP4, performed 2026-08-19. Built from `diffusion_models/minimax_h3_fl2va_pruned_bf16.safetensors` in Comfy-Org/MiniMax-H3, revision `3f57e8291d2ef846f9a074b1b76d2767db434abe`.** Runs on stock ComfyUI, no custom nodes required: the file carries per-layer `comfy_quant` metadata, the same mechanism as the NVFP4 text encoder that Comfy-Org already ships.

• OpenHermes-7B-Symbolic-Mistral-7B-Instruct-v0.2-slerp-GGUF↗

  MaziyarPanahi