GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

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

MiniMax H3 Text Encoder — Qwen3 VL 32B abliterated · GGUF GGUF llama.cpp builds of the MiniMax H3 text encoder — abliterated Qwen3 VL 32B, 50 layers, Q3 K S ≈3…

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
0
Likes
0
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 modified2026-09-05T12:53:40.000Z

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

---

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

GGUF (llama.cpp) builds of the MiniMax-H3 text encoder — abliterated Qwen3-VL-32B, 50 layers, Q3_K_S (≈3.53 BPW).

Files

| File | Size | Visual tower | Use for |

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

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

| MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-Q3_K_S_vis.gguf | ~12.6 GB | ✓ 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) · Arch: qwen3vl · 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._

Run pottokao/MiniMax-H3-TextEncoder-Qwen3VL-32B-abliterated-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models