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pottokao/MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-NVFP4-AWQ

🤗 Hugging Face 来源image-text-to-textapache-2.013.6B 参数14 GBsafetensors✓ 5 个校验和今天更新
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在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo pottokao/MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-NVFP4-AWQ ./model-folder
需要做种者 →

MiniMax-H3 Text Encoder — Qwen3-VL-32B (abliterated) · NVFP4-AWQ

Quantized text encoder for the MiniMax-H3 video model, built to be served by vLLM-Omni.

  • Base: abliterated Qwen3-VL-32B-Instruct
  • Layers: 64 → 50 (H3 only consumes the hidden state after layer 50; lm_head and the final norm are dropped)
  • Quantization: NVFP4 (W4A16, group_size 16) via NVIDIA ModelOpt, with AWQ pre_quant_scale on down_proj / o_proj (per-layer α searched on real activations; median down_proj≈0.4, o_proj≈0.5). embed_tokens → FP8 (e4m3). Vision tower and all norms kept BF16.
  • Format: ModelOpt convention — vLLM-Omni's W4A16_NVFP4 path requires pre_quant_scale, so this build ships it (a plain NVFP4 build without it will not load).
  • Size: ~15.7 GB.

Notes

This is an abliterated / uncensored derivative, released as a component for the MiniMax-H3 text-to-video / image-to-video pipeline.