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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/noctrex%2FHuihui-Qwen3-VL-4B-Instruct-abliterated-GGUF" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
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The same weights this author released in different packaging. Pick the format that matches your runtime.
| Huihui-Qwen3-VL-4B-Instruct-abliterated-BF16.gguf | 7.50 GB | 3a4eb1cd | download |
| mmproj-BF16.gguf | 800 MB | 2a8b818a | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-F16.gguf | 7.50 GB | 7e17cfda | download |
| mmproj-F16.gguf | 797 MB | 3aedbce3 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-Q8_0.gguf | 3.99 GB | b30ecba4 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-Q6_K.gguf | 3.08 GB | b77b439a | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-Q5_K_M.gguf | 2.69 GB | 2512dbc5 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-Q5_K_S.gguf | 2.63 GB | a64c4648 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-Q4_K_M.gguf | 2.33 GB | 9789bbc0 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-Q4_K_S.gguf | 2.22 GB | 2a1eae65 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-IQ4_NL.gguf | 2.22 GB | b06d26d0 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-IQ4_XS.gguf | 2.11 GB | 96b54c12 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-IQ3_M.gguf | 1.83 GB | e4942b84 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-IQ3_S.gguf | 1.77 GB | 9e2b980a | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-IQ3_XS.gguf | 1.69 GB | 07e7d4e3 | download |
| Huihui-Qwen3-VL-4B-Instruct-abliterated-IQ3_XXS.gguf | 1.56 GB | f13df1e8 | download |
| mmproj-F32.gguf | 1.55 GB | 55a0e713 | download |
pipeline_tag: image-text-to-text
base_model:
These are quantizations of the model Huihui-Qwen3-VL-4B-Instruct-abliterated.
They have been updated to use the imatrix from unsloth.
Original model: https://huggingface.co/huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated
Download the latest llama.cpp to use them.
Try to use the best quality you can run.
For the mmproj, try to use the F32 version as it will produce the best results. F32 > BF16 > F16
The author's README evolved over time. Click a version to see its content at that point.
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