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pottokao/MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-GGUF overview

πŸ“Œ Heads up: I've been focused on still image work lately, so I don't have the bandwidth to help with video setups like MiniMax H3 for now. The files stay up a…

ggufq3_k_sabliterateduncensoredminimax-h3text-encoderimage-text-to-textbase_model:Qwen/Qwen3-VL-32B-Instructbase_model:quantized:Qwen/Qwen3-VL-32B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~10.67 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
12,529
Likes
6
Pipeline
image-text-to-text
Author

Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-Q3_K_S.ggufGGUFQ3_K_S10.67 GBDownload
MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-Q3_K_S_vis.ggufGGUFQ3_K_S_VIS11.78 GBDownload

Model Details

Model IDpottokao/MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-GGUF
Authorpottokao
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelQwen/Qwen3-VL-32B-Instruct
Last modified2026-09-23T10:08:53.000Z

Model README

---

license: apache-2.0

base_model:

  • Qwen/Qwen3-VL-32B-Instruct

pipeline_tag: image-text-to-text

library_name: gguf

tags:

  • gguf
  • q3_k_s
  • abliterated
  • uncensored
  • minimax-h3
  • text-encoder

---

> πŸ“Œ Heads-up: I've been focused on still-image work lately, so I don't have the bandwidth to help with video setups like MiniMax-H3 for now. The files stay up as they are β€” thanks for understanding!

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MiniMax-H3 Text Encoder β€” Qwen3-VL-32B (abliterated) Β· GGUF

GGUF (llama.cpp) builds of the MiniMax-H3 text encoder β€” abliterated Qwen3-VL-32B, 50 layers, Q3_K_S (β‰ˆ3.53 BPW).

Files

| File | Size | Visual tower | Use for |

|---|---|---|---|

| MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-Q3_K_S.gguf | ~11.5 GB | βœ— (text only) | plain llama.cpp text-encoder use |

| MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-Q3_K_S_vis.gguf | ~12.6 GB | βœ“ merged in | ComfyUI (MiniMax-H3 pipeline) |

For ComfyUI use the _vis file. ComfyUI detects the H3 text encoder via the visual tower tensors (visual.deepstack_merger_list. + model.layers.49.); the plain file lacks them and won't be recognized. The _vis build has the BF16 visual tower merged back in.

  • Layers: 50 (H3 consumes the hidden state after layer 50) Β· Arch: qwen3vl Β· Base: abliterated Qwen3-VL-32B-Instruct.

For the vLLM-Omni-ready NVFP4-AWQ build, see pottokao/MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-NVFP4-AWQ.

_Abliterated / uncensored derivative, released as a component for the MiniMax-H3 text-to-video / image-to-video pipeline._

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