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For a convenient overview and download list, visit our model page for this model.
Source du modèle
Description de la source
weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Sources
1 sourceVérifié 17 sept.
Artefacts du modèle
25 artefactsQwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_M.gguf
gguf · 2,10 GB · SHA-256 2890a48b53a5…da7e · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_S.gguf
gguf · 1,97 GB · SHA-256 f72d521af15e…c1c3 · Hugging Face
TéléchargerExtraits de sources
2 extraitsThis is a vision model - mmproj files (if any) will be in the static repository.
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | imatrix | 0.1 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 2.2 | for the desperate |
| GGUF | i1-IQ1_M | 2.4 | mostly desperate |
| GGUF | i1-IQ2_XXS | 2.6 |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_M.gguf
gguf · 2,84 GB · SHA-256 f0db177da431…551f · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_S.gguf
gguf · 2,67 GB · SHA-256 90165b39a09d…8ba5 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XS.gguf
gguf · 2,51 GB · SHA-256 f4f86c156289…4048 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XXS.gguf
gguf · 2,32 GB · SHA-256 78f91c89c210…0949 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_M.gguf
gguf · 3,63 GB · SHA-256 7a67ce0fcfb5…8e07 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_S.gguf
gguf · 3,53 GB · SHA-256 7373eff54d04…466e · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XS.gguf
gguf · 3,38 GB · SHA-256 8ab6bc3c8b41…215f · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XXS.gguf
gguf · 3,14 GB · SHA-256 be12cdd11c25…941a · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_NL.gguf
gguf · 4,46 GB · SHA-256 82ed5bbf1a8d…bed3 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_XS.gguf
gguf · 4,25 GB · SHA-256 982fa873d919…379e · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K_S.gguf
gguf · 2,87 GB · SHA-256 fafd3d73badb…e059 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K.gguf
gguf · 3,06 GB · SHA-256 77ac9c70b3ff…54cc · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_L.gguf
gguf · 4,13 GB · SHA-256 e1e73adb5eee…01d5 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_M.gguf
gguf · 3,84 GB · SHA-256 afc2d74716c2…d4a3 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_S.gguf
gguf · 3,51 GB · SHA-256 83995325e1ef…a11d · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q4_0.gguf
gguf · 4,46 GB · SHA-256 d1f7560fc30f…ab94 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q4_1.gguf
gguf · 4,89 GB · SHA-256 5734093a67cc…0f54 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_M.gguf
gguf · 4,68 GB · SHA-256 aa4b3d0094e5…22ee · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_S.gguf
gguf · 4,47 GB · SHA-256 14f0ccb757a6…2e93 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_M.gguf
gguf · 5,45 GB · SHA-256 60ae85320658…3f0d · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_S.gguf
gguf · 5,33 GB · SHA-256 f6234544b083…4c26 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.i1-Q6_K.gguf
gguf · 6,26 GB · SHA-256 a09161fbcec4…f148 · Hugging Face
TéléchargerQwen3-VL-8B-Abliterated-Caption-it.imatrix.gguf
gguf · 5,10 MB · SHA-256 6775866133fc…0ec7 · Hugging Face
Télécharger--- base_model: prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it language: - en - zh - th library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - trl - text-generation-inference - uncensored - image-captioning - vlm - visual-understanding - caption - image-to-text --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-VL-8B-Abliterated-Caption-it-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-GGUF).** ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen3-VL-8B-Abliterated-Caption-it.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_S.gguf) | i1-IQ1_S | 2.2 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-i1-GGUF/resolve/main/Qwen3-V...
Source context: 1262 downloads · 8 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-i1-GGUF
| GGUF | i1-IQ2_XS | 2.8 |
| GGUF | i1-IQ2_S | 3.0 |
| GGUF | i1-IQ2_M | 3.2 |
| GGUF | i1-Q2_K_S | 3.2 | very low quality |
| GGUF | i1-Q2_K | 3.4 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 3.5 | lower quality |
| GGUF | i1-IQ3_XS | 3.7 |
| GGUF | i1-Q3_K_S | 3.9 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 3.9 | beats Q3_K* |
| GGUF | i1-IQ3_M | 4.0 |
| GGUF | i1-Q3_K_M | 4.2 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 4.5 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 4.7 |
| GGUF | i1-Q4_0 | 4.9 | fast, low quality |
| GGUF | i1-IQ4_NL | 4.9 | prefer IQ4_XS |
| GGUF | i1-Q4_K_S | 4.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 5.1 | fast, recommended |
| GGUF | i1-Q4_1 | 5.3 |
| GGUF | i1-Q5_K_S | 5.8 |
| GGUF | i1-Q5_K_M | 6.0 |
| GGUF | i1-Q6_K | 6.8 | practically like static Q6_K |
