EAR Qwen2.5 VL 3B I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 3,24 MB–2,36 GB
- Basismodell
- AlleyOop26/EAR-Qwen2.5-VL-3B
- Version
- vRevision b218730
- Aktualisiert
- 3. Okt. 2026
- Verleger
- @mradermacher
- Downloads
- 604
- Parameter
- 3B
- Quelle
- Hugging Face
Quellenbeschreibung
About
weighted/imatrix quants of https://huggingface.co/AlleyOop26/EAR-Qwen2.5-VL-3B
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-GGUF
This is a vision model - mmproj files (if any) will be in the static repository.
Usage
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.
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 | imatrix | 0.1 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 0.9 | for the desperate |
| GGUF | i1-IQ1_M | 1.0 | mostly desperate |
| GGUF | i1-IQ2_XXS | 1.0 | |
| GGUF | i1-IQ2_XS | 1.1 | |
| GGUF | i1-IQ2_S | 1.2 | |
| GGUF | i1-IQ2_M | 1.2 | |
| GGUF | i1-Q2_K_S | 1.3 | very low quality |
| GGUF | i1-Q2_K | 1.4 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 1.4 | lower quality |
| GGUF | i1-IQ3_XS | 1.5 | |
| GGUF | i1-Q3_K_S | 1.6 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 1.6 | beats Q3_K* |
| GGUF | i1-IQ3_M | 1.6 | |
| GGUF | i1-Q3_K_M | 1.7 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 1.8 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 1.8 | |
| GGUF | i1-IQ4_NL | 1.9 | prefer IQ4_XS |
| GGUF | i1-Q4_0 | 1.9 | fast, low quality |
| GGUF | i1-Q4_K_S | 1.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 2.0 | fast, recommended |
| GGUF | i1-Q4_1 | 2.1 | |
| GGUF | i1-Q5_K_S | 2.3 | |
| GGUF | i1-Q5_K_M | 2.3 | |
| GGUF | i1-Q6_K | 2.6 | practically like static Q6_K |
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
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
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.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 3. Okt.
Modellartefakte
25 Artefakte
Modellartefakte
25 ArtefakteEAR-Qwen2.5-VL-3B.i1-IQ1_M.gguf
gguf · 811 MB · SHA-256 0da7f033abe2…5b63 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ1_S.gguf
gguf · 754 MB · SHA-256 8cb4216f117e…5f0b · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ2_M.gguf
gguf · 1,06 GB · SHA-256 41996b6e9499…508e · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ2_S.gguf
gguf · 1.013 MB · SHA-256 1abc42827c75…b238 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ2_XS.gguf
gguf · 984 MB · SHA-256 b2b19d769977…8892 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ2_XXS.gguf
gguf · 904 MB · SHA-256 326dd092fa6f…be5c · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ3_M.gguf
gguf · 1,39 GB · SHA-256 7944adcc5e97…a00c · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ3_S.gguf
gguf · 1,36 GB · SHA-256 98de6c2b595b…dec0 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ3_XS.gguf
gguf · 1,30 GB · SHA-256 cc5d6036dcee…1a12 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ3_XXS.gguf
gguf · 1,19 GB · SHA-256 589327697039…74a8 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ4_NL.gguf
gguf · 1,70 GB · SHA-256 bb9eb34d3466…dad8 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-IQ4_XS.gguf
gguf · 1,62 GB · SHA-256 34ae9db33d4b…d50a · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q2_K_S.gguf
gguf · 1,12 GB · SHA-256 89c9cc8952a1…aab0 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q2_K.gguf
gguf · 1,19 GB · SHA-256 0d681d4668d7…4ad3 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q3_K_L.gguf
gguf · 1,59 GB · SHA-256 96be5dd8409b…ce55 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q3_K_M.gguf
gguf · 1,48 GB · SHA-256 3910ce75a10e…7c62 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q3_K_S.gguf
gguf · 1,35 GB · SHA-256 ced59095fd61…954c · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q4_0.gguf
gguf · 1,70 GB · SHA-256 0f986b4b3624…5e04 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q4_1.gguf
gguf · 1,86 GB · SHA-256 d206fa2e8e67…a670 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q4_K_M.gguf
gguf · 1,80 GB · SHA-256 be8b38bdb046…4094 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q4_K_S.gguf
gguf · 1,71 GB · SHA-256 c9ceabfca2a9…f0dc · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q5_K_M.gguf
gguf · 2,07 GB · SHA-256 2154ee14720f…9ced · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q5_K_S.gguf
gguf · 2,02 GB · SHA-256 794bcfa7205d…5ce5 · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.i1-Q6_K.gguf
gguf · 2,36 GB · SHA-256 1e10d509f4f9…33ea · Hugging Face
HerunterladenEAR-Qwen2.5-VL-3B.imatrix.gguf
gguf · 3,24 MB · SHA-256 ea26b7b3544c…70b8 · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: AlleyOop26/EAR-Qwen2.5-VL-3B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## 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/AlleyOop26/EAR-Qwen2.5-VL-3B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#EAR-Qwen2.5-VL-3B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-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/EAR-Qwen2.5-VL-3B-i1-GGUF/resolve/main/EAR-Qwen2.5-VL-3B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF/resolve/main/EAR-Qwen2.5-VL-3B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.9 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF/resolve/main/EAR-Qwen2.5-VL-3B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.0 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF/resolve/main/EAR-Qwen2.5-VL-3B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.0 | | | [GGUF](https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF/resolve/main/EAR-Qwen2.5-VL-3B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.1 | | | [GGUF](https://huggingface.co/mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF/resolve/main/EAR-Qwen2.5-VL-3B.i1-IQ2_S.gguf) | i1-IQ2_S | 1.2 | | | [GGUF](https://h...
Source context: 604 downloads · 1 likes · Library transformers · Repo mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF
Source context: 240 downloads · 1 likes · Library transformers · Repo mradermacher/EAR-Qwen2.5-VL-3B-i1-GGUF
