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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/Qwen3-VL-8B-Instruct-c_abliterated-v3
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Quellen
1 QuelleVerifiziert 13. Okt.
Modellartefakte
14 ArtefakteQwen3-VL-8B-Instruct-c_abliterated-v3.f16.gguf
gguf · 15,3 GB · SHA-256 bd5fd28102c9…ad2a · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.IQ4_XS.gguf
gguf · 4,28 GB · SHA-256 391d96a65776…c75d · 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 | 0.9 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.3 | multi-modal supplement |
| GGUF | Q2_K | 3.4 | |
| GGUF | Q3_K_S | 3.9 |
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.
Qwen3-VL-8B-Instruct-c_abliterated-v3.mmproj-f16.gguf
gguf · 1,08 GB · SHA-256 9a09f82289cf…9d9a · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.mmproj-Q8_0.gguf
gguf · 717 MB · SHA-256 099408e4d742…f0bf · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q2_K.gguf
gguf · 3,06 GB · SHA-256 e1e18ea13f92…33dc · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q3_K_L.gguf
gguf · 4,13 GB · SHA-256 d0d77ec595c3…eb36 · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q3_K_M.gguf
gguf · 3,84 GB · SHA-256 88ab82c59452…aace · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q3_K_S.gguf
gguf · 3,51 GB · SHA-256 e39195316f40…c118 · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q4_K_M.gguf
gguf · 4,68 GB · SHA-256 838f9dcc784a…5807 · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q4_K_S.gguf
gguf · 4,47 GB · SHA-256 c2cefb693a41…464c · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q5_K_M.gguf
gguf · 5,45 GB · SHA-256 cc57e5981ddd…fbf9 · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q5_K_S.gguf
gguf · 5,33 GB · SHA-256 a3b8a090cca9…03d7 · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q6_K.gguf
gguf · 6,26 GB · SHA-256 5aea3ee602dc…2b38 · Hugging Face
HerunterladenQwen3-VL-8B-Instruct-c_abliterated-v3.Q8_0.gguf
gguf · 8,11 GB · SHA-256 0bb8b339c861…7fee · Hugging Face
Herunterladen--- base_model: prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3 language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - c_abliterated - v3.0 - code - refusal --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-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/Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF/resolve/main/Qwen3-VL-8B-Instruct-c_abliterated-v3.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF/resolve/main/Qwen3-VL-8B-Instruct-c_abliterated-v3.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF/resolve/main/Qwen3-VL-8B-Instruct-c_abliterated-v3.Q2_K.gguf) | Q2_K | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF/resolve/main/Qwen3-VL-8B-Instruct-c_abliterated-v3.Q3_K_S.gguf) | Q3_K_S | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF/resolve/main/Qwen3-VL-8B-Instruct-c_abliterated-v3.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3...
Source context: 1976 downloads · 7 likes · Library transformers · Repo mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-GGUF
| GGUF | Q3_K_M | 4.2 | lower quality |
| GGUF | Q3_K_L | 4.5 |
| GGUF | IQ4_XS | 4.7 |
| GGUF | Q4_K_S | 4.9 | fast, recommended |
| GGUF | Q4_K_M | 5.1 | fast, recommended |
| GGUF | Q5_K_S | 5.8 |
| GGUF | Q5_K_M | 6.0 |
| GGUF | Q6_K | 6.8 | very good quality |
| GGUF | Q8_0 | 8.8 | fast, best quality |
| GGUF | f16 | 16.5 | 16 bpw, overkill |
