Qwen3-VisionCaption-2B-Thinking-GGUF
Qwen3-VisionCaption-2B-Thinking is an abliterated v1.0 variant built upon Qwen3-VL-2B-Instruct-abliterated-v1, which originates from the Qwen3-VL-2B-Instruct architecture. It is specifically optimized for seamless, high precision image captioning and uncensored visual analysis. The model is engineered for robust caption generation, deep reasoning, and unrestricted descriptive understanding across diverse visual and multimodal contexts.
Qwen3-VisionCaption-2B-Thinking [GGUF]
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| Qwen3-VisionCaption-2B-Thinking.BF16.gguf | BF16 | 3.45 GB | Download |
| Qwen3-VisionCaption-2B-Thinking.F16.gguf | F16 | 3.45 GB | Download |
| Qwen3-VisionCaption-2B-Thinking.F32.gguf | F32 | 6.89 GB | Download |
| Qwen3-VisionCaption-2B-Thinking.Q8_0.gguf | Q8_0 | 1.83 GB | Download |
| Qwen3-VisionCaption-2B-Thinking.mmproj-bf16.gguf | mmproj-bf16 | 823 MB | Download |
| Qwen3-VisionCaption-2B-Thinking.mmproj-f16.gguf | mmproj-f16 | 819 MB | Download |
| Qwen3-VisionCaption-2B-Thinking.mmproj-f32.gguf | mmproj-f32 | 1.63 GB | Download |
| Qwen3-VisionCaption-2B-Thinking.mmproj-q8_0.gguf | mmproj-q8_0 | 445 MB | Download |
Run with llama.cpp on Jan, Ollama, LM Studio, and other platforms.
Quants Usage
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Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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Base model
Qwen/Qwen3-VL-2B-Thinking