SmolVLM2 2.2B Instruct I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Source du modèle
- Type
- Other
- Taille du fichier
- 425 MB–1,39 GB
- Modèle de base
- HuggingFaceTB/SmolVLM2-2.2B-Instruct
- Version
- vRevision 377b1a8
- Mis à jour
- 24 oct. 2026
- Téléchargements
- 692
- Source
- Hugging Face
Description de la source
About
weighted/imatrix quants of https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-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 | i1-IQ1_S | 0.5 | for the desperate |
| GGUF | i1-IQ1_M | 0.6 | mostly desperate |
| GGUF | i1-IQ2_XXS | 0.6 | |
| GGUF | i1-IQ2_XS | 0.7 | |
| GGUF | i1-IQ2_S | 0.7 | |
| GGUF | i1-IQ2_M | 0.8 | |
| GGUF | i1-Q2_K_S | 0.8 | very low quality |
| GGUF | i1-Q2_K | 0.8 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 0.8 | lower quality |
| GGUF | i1-IQ3_XS | 0.9 | |
| GGUF | i1-IQ3_S | 0.9 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 0.9 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 1.0 | |
| GGUF | i1-Q3_K_M | 1.0 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 1.1 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 1.1 | |
| GGUF | i1-IQ4_NL | 1.1 | prefer IQ4_XS |
| GGUF | i1-Q4_0 | 1.2 | fast, low quality |
| GGUF | i1-Q4_K_S | 1.2 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 1.2 | fast, recommended |
| GGUF | i1-Q4_1 | 1.3 | |
| GGUF | i1-Q5_K_S | 1.4 | |
| GGUF | i1-Q5_K_M | 1.4 | |
| GGUF | i1-Q6_K | 1.6 | 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.
Sources
1 source
Sources
1 sourceVérifié 24 oct.
Download files
Artefacts du modèle
24 artefacts
Artefacts du modèle
24 artefactsSmolVLM2-2.2B-Instruct.i1-IQ1_M.gguf
gguf · 455 MB · SHA-256 009d602d8abb…fc83 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ1_S.gguf
gguf · 425 MB · SHA-256 04ef5aee2166…6d4f · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ2_M.gguf
gguf · 628 MB · SHA-256 3371d00775ec…7d1a · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ2_S.gguf
gguf · 587 MB · SHA-256 32e3064bf2cc…2c31 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ2_XS.gguf
gguf · 549 MB · SHA-256 c848291b5d49…af65 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ2_XXS.gguf
gguf · 506 MB · SHA-256 f5767c6b9dac…4e1d · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ3_M.gguf
gguf · 814 MB · SHA-256 719c767467f9…92ea · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ3_S.gguf
gguf · 782 MB · SHA-256 3565eac5fd5c…2e89 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ3_XS.gguf
gguf · 746 MB · SHA-256 a5767fdb564b…aac9 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ3_XXS.gguf
gguf · 690 MB · SHA-256 307e53636899…64e3 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ4_NL.gguf
gguf · 999 MB · SHA-256 c7a3920e5daf…5673 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-IQ4_XS.gguf
gguf · 948 MB · SHA-256 7b9f08362cea…b29f · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q2_K_S.gguf
gguf · 628 MB · SHA-256 6e37cf8be59d…478f · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q2_K.gguf
gguf · 675 MB · SHA-256 ef9d382a93d3…d895 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q3_K_L.gguf
gguf · 931 MB · SHA-256 537a4ad6dab7…4edd · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q3_K_M.gguf
gguf · 862 MB · SHA-256 38c1ec57e1cc…2fdc · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q3_K_S.gguf
gguf · 782 MB · SHA-256 c49e5177c77d…05e0 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q4_0.gguf
gguf · 1 002 MB · SHA-256 0794f9d23b3d…8b2a · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q4_1.gguf
gguf · 1,08 GB · SHA-256 268ebab5d75e…2dc1 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q4_K_M.gguf
gguf · 1,04 GB · SHA-256 ee7686d62803…1f62 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q4_K_S.gguf
gguf · 1 007 MB · SHA-256 0eb6069407a6…b10d · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q5_K_M.gguf
gguf · 1,21 GB · SHA-256 565c2b7f25c5…6286 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q5_K_S.gguf
gguf · 1,18 GB · SHA-256 c3a26390cb59…cf03 · Hugging Face
Download fileSmolVLM2-2.2B-Instruct.i1-Q6_K.gguf
gguf · 1,39 GB · SHA-256 660b1ae2ca77…7cd8 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- base_model: HuggingFaceTB/SmolVLM2-2.2B-Instruct datasets: - HuggingFaceM4/the_cauldron - HuggingFaceM4/Docmatix - lmms-lab/LLaVA-OneVision-Data - lmms-lab/M4-Instruct-Data - HuggingFaceFV/finevideo - MAmmoTH-VL/MAmmoTH-VL-Instruct-12M - lmms-lab/LLaVA-Video-178K - orrzohar/Video-STaR - Mutonix/Vript - TIGER-Lab/VISTA-400K - Enxin/MovieChat-1K_train - ShareGPT4Video/ShareGPT4Video language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - video-text-to-text --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#SmolVLM2-2.2B-Instruct-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-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/SmolVLM2-2.2B-Instruct-i1-GGUF/resolve/main/SmolVLM2-2.2B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-i1-GGUF/resolve/main/SmolVLM2-2.2B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-i1-GGUF/resolve/main/SmolVLM2-2.2B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 | | | [GGUF](https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-i1-GGUF/resolve/main/SmolVLM2-2.2B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | | | [GGUF](https://huggingface.co/mradermacher/SmolVLM2-2.2B-Instruct-i1-GGUF/resolve/main/SmolVLM2-2.2B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S...
Source context: 692 downloads · 3 likes · Pipeline video-text-to-text · Library transformers · Repo mradermacher/SmolVLM2-2.2B-Instruct-i1-GGUF
Source context: 326 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo mradermacher/SmolVLM2-2.2B-Instruct-i1-GGUF
