prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it-GGUF

🤗 Hugging Face 来源image-text-to-textapache-2.0激活 8B172 GBGGUF✓ 39 个校验和今天更新
一条命令提交

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 prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it-GGUF ./model-folder
需要做种者 →

Qwen3-VL-8B-Abliterated-Caption-it-GGUF

The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and descriptive captions across a broad range of visual categories, including images with complex, sensitive, or nuanced content—across varying aspect ratios and resolutions.

Model Files

File Name Quant Type File Size
Qwen3-VL-8B-Abliterated-Caption-it.f16.gguf F16 16.4 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q2_K.gguf Q2_K 3.28 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_L.gguf Q3_K_L 4.43 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_M.gguf Q3_K_M 4.12 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_S.gguf Q3_K_S 3.77 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q4_K_M.gguf Q4_K_M 5.03 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q4_K_S.gguf Q4_K_S 4.8 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q5_K_M.gguf Q5_K_M 5.85 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q5_K_S.gguf Q5_K_S 5.72 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q6_K.gguf Q6_K 6.73 GB
Qwen3-VL-8B-Abliterated-Caption-it.Q8_0.gguf Q8_0 8.71 GB
Qwen3-VL-8B-Abliterated-Caption-it.IQ4_XS.gguf IQ4_XS 4.59 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_M.gguf i1-IQ1_M 2.26 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_S.gguf i1-IQ1_S 2.12 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_M.gguf i1-IQ2_M 3.05 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_S.gguf i1-IQ2_S 2.86 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XS.gguf i1-IQ2_XS 2.7 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XXS.gguf i1-IQ2_XXS 2.49 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_M.gguf i1-IQ3_M 3.9 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_S.gguf i1-IQ3_S 3.79 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XS.gguf i1-IQ3_XS 3.63 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XXS.gguf i1-IQ3_XXS 3.37 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_NL.gguf i1-IQ4_NL 4.79 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_XS.gguf i1-IQ4_XS 4.56 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K.gguf i1-Q2_K 3.28 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K_S.gguf i1-Q2_K_S 3.08 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_L.gguf i1-Q3_K_L 4.43 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_M.gguf i1-Q3_K_M 4.12 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_S.gguf i1-Q3_K_S 3.77 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_0.gguf i1-Q4_0 4.79 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_1.gguf i1-Q4_1 5.25 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_M.gguf i1-Q4_K_M 5.03 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_S.gguf i1-Q4_K_S 4.8 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_M.gguf i1-Q5_K_M 5.85 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_S.gguf i1-Q5_K_S 5.72 GB
Qwen3-VL-8B-Abliterated-Caption-it.i1-Q6_K.gguf i1-Q6_K 6.73 GB
Qwen3-VL-8B-Abliterated-Caption-it.imatrix.gguf imatrix 5.35 MB
Qwen3-VL-8B-Abliterated-Caption-it.mmproj-Q8_0.gguf mmproj-Q8_0 752 MB
Qwen3-VL-8B-Abliterated-Caption-it.mmproj-f16.gguf mmproj-f16 1.16 GB

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):