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For a convenient overview and download list, visit our model page for this model.
Modellquelle
Quellenbeschreibung
static quants of https://huggingface.co/prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Quellen
1 QuelleVerifiziert 14. Okt.
Modellartefakte
14 ArtefakteQwen2.5-VL-7B-Abliterated-Caption-it.f16.gguf
gguf · 14,2 GB · SHA-256 b0f9125684c2…74de · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.IQ4_XS.gguf
gguf · 3,96 GB · SHA-256 70c7b499b4a8…3028 · Hugging Face
HerunterladenQuellenauszüge
2 AuszügeIf 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 | mmproj-Q8_0 | 1.0 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.5 | multi-modal supplement |
| GGUF | Q2_K | 3.1 | |
| GGUF | Q3_K_S | 3.6 |
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.
Qwen2.5-VL-7B-Abliterated-Caption-it.mmproj-f16.gguf
gguf · 1,26 GB · SHA-256 375a1bc1af68…d48d · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.mmproj-Q8_0.gguf
gguf · 814 MB · SHA-256 dc69886e0439…323e · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q2_K.gguf
gguf · 2,81 GB · SHA-256 de9596badb46…bfee · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_L.gguf
gguf · 3,81 GB · SHA-256 dd6692ea1d69…3543 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_M.gguf
gguf · 3,55 GB · SHA-256 8cb6ca97ac76…3e52 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_S.gguf
gguf · 3,25 GB · SHA-256 ad8d21f1fc9f…6c04 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q4_K_M.gguf
gguf · 4,36 GB · SHA-256 8ec61993c22a…0404 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q4_K_S.gguf
gguf · 4,15 GB · SHA-256 739197d5faa3…12b7 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q5_K_M.gguf
gguf · 5,07 GB · SHA-256 b48a51ef6b1f…0434 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q5_K_S.gguf
gguf · 4,95 GB · SHA-256 3904726a9357…9010 · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q6_K.gguf
gguf · 5,82 GB · SHA-256 33e898b6f64a…4b5d · Hugging Face
HerunterladenQwen2.5-VL-7B-Abliterated-Caption-it.Q8_0.gguf
gguf · 7,54 GB · SHA-256 abca2052c87b…2148 · Hugging Face
Herunterladen--- base_model: prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it datasets: - prithivMLmods/blip3o-caption-mini-arrow - prithivMLmods/Caption3o-Opt-v2 language: - en - zh - th library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - 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: --> static quants of https://huggingface.co/prithivMLmods/Qwen2.5-VL-7B-Abliterated-Caption-it <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-i1-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/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-7B-Abliterated-Caption-it.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-7B-Abliterated-Caption-it.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-7B-Abliterated-Caption-it.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-7B-Abliterated-Caption-it.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF/resolve/main/Qwen...
Source context: 6738 downloads · 79 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Qwen2.5-VL-7B-Abliterated-Caption-it-GGUF
| GGUF | Q3_K_M | 3.9 | lower quality |
| GGUF | Q3_K_L | 4.2 |
| GGUF | IQ4_XS | 4.4 |
| GGUF | Q4_K_S | 4.6 | fast, recommended |
| GGUF | Q4_K_M | 4.8 | fast, recommended |
| GGUF | Q5_K_S | 5.4 |
| GGUF | Q5_K_M | 5.5 |
| GGUF | Q6_K | 6.4 | very good quality |
| GGUF | Q8_0 | 8.2 | fast, best quality |
| GGUF | f16 | 15.3 | 16 bpw, overkill |
