Webs Sejong 31B v7 I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 13,1 MB–23,5 GB
- Basismodell
- websfactory/Webs-Sejong-31B-v7
- Version
- vRevision b5be52b
- Aktualisiert
- 23. Okt. 2026
- Verleger
- @mradermacher
- Downloads
- 649
- Parameter
- 31B
- Quelle
- Hugging Face
Quellenbeschreibung
About
weighted/imatrix quants of https://huggingface.co/websfactory/Webs-Sejong-31B-v7
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-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 | 7.3 | for the desperate |
| GGUF | i1-IQ1_M | 7.8 | mostly desperate |
| GGUF | i1-IQ2_XXS | 8.8 | |
| GGUF | i1-IQ2_XS | 9.6 | |
| GGUF | i1-IQ2_S | 10.3 | |
| GGUF | i1-IQ2_M | 11.0 | |
| GGUF | i1-Q2_K_S | 11.1 | very low quality |
| GGUF | i1-Q2_K | 12.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 12.2 | lower quality |
| GGUF | i1-IQ3_XS | 13.2 | |
| GGUF | i1-IQ3_S | 13.9 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 13.9 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 14.5 | |
| GGUF | i1-Q3_K_M | 15.4 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 16.7 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 16.8 | |
| GGUF | i1-Q4_0 | 17.8 | fast, low quality |
| GGUF | i1-Q4_K_S | 17.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 18.8 | fast, recommended |
| GGUF | i1-Q4_1 | 19.6 | |
| GGUF | i1-Q5_K_S | 21.4 | |
| GGUF | i1-Q5_K_M | 21.9 | |
| GGUF | i1-Q6_K | 25.3 | 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 23. Okt.
Download files
Modellartefakte
24 Artefakte
Modellartefakte
24 ArtefakteWebs-Sejong-31B-v7.i1-IQ1_M.gguf
gguf · 7,20 GB · SHA-256 3e690694b955…7fcd · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ1_S.gguf
gguf · 6,67 GB · SHA-256 2b99d4b9c2cf…2e0b · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ2_M.gguf
gguf · 10,2 GB · SHA-256 14830008d0d7…cbfb · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ2_S.gguf
gguf · 9,46 GB · SHA-256 e9a2e47591ef…7c85 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ2_XS.gguf
gguf · 8,88 GB · SHA-256 1f96420a7d4e…b0db · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ2_XXS.gguf
gguf · 8,08 GB · SHA-256 80a96a95065f…6b30 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ3_M.gguf
gguf · 13,4 GB · SHA-256 c9c121a53253…dcd3 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ3_S.gguf
gguf · 12,8 GB · SHA-256 ae27bff64342…6533 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ3_XS.gguf
gguf · 12,2 GB · SHA-256 9ab2f63be831…ecc6 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ3_XXS.gguf
gguf · 11,2 GB · SHA-256 a4f730abf4ff…c85a · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-IQ4_XS.gguf
gguf · 15,6 GB · SHA-256 9e2a8562fa32…4e59 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q2_K_S.gguf
gguf · 10,2 GB · SHA-256 9db64d69c443…59a9 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q2_K.gguf
gguf · 11,1 GB · SHA-256 e19daf9b90b5…79ac · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q3_K_L.gguf
gguf · 15,5 GB · SHA-256 04d4f05ec733…d672 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q3_K_M.gguf
gguf · 14,2 GB · SHA-256 b4baa9a1a0a1…7694 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q3_K_S.gguf
gguf · 12,8 GB · SHA-256 7e5afaaa8b56…a19c · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q4_0.gguf
gguf · 16,5 GB · SHA-256 dba887645621…3d56 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q4_1.gguf
gguf · 18,1 GB · SHA-256 72f2c90fa3bb…ed1c · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q4_K_M.gguf
gguf · 17,4 GB · SHA-256 648b081197c2…9607 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q4_K_S.gguf
gguf · 16,5 GB · SHA-256 784513a2fda3…8848 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q5_K_M.gguf
gguf · 20,3 GB · SHA-256 b573117acac7…2da8 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q5_K_S.gguf
gguf · 19,8 GB · SHA-256 01ba18ef322a…ffd7 · Hugging Face
Download fileWebs-Sejong-31B-v7.i1-Q6_K.gguf
gguf · 23,5 GB · SHA-256 66b0669931e5…4a17 · Hugging Face
Download fileWebs-Sejong-31B-v7.imatrix.gguf
gguf · 13,1 MB · SHA-256 4da8f91d60ac…f9bc · Hugging Face
Download fileQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: websfactory/Webs-Sejong-31B-v7 language: - ko - en library_name: transformers license: gemma mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - korean - gemma4 --- ## 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/websfactory/Webs-Sejong-31B-v7 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Webs-Sejong-31B-v7-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-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/Webs-Sejong-31B-v7-i1-GGUF/resolve/main/Webs-Sejong-31B-v7.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-i1-GGUF/resolve/main/Webs-Sejong-31B-v7.i1-IQ1_S.gguf) | i1-IQ1_S | 7.3 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-i1-GGUF/resolve/main/Webs-Sejong-31B-v7.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-i1-GGUF/resolve/main/Webs-Sejong-31B-v7.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.8 | | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-i1-GGUF/resolve/main/Webs-Sejong-31B-v7.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.6 | | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v7-i1-GGUF/resolve/main/Webs-Sejong-31B-v7.i1-IQ2_S.gg...
Source context: 649 downloads · 0 likes · Library transformers · Repo mradermacher/Webs-Sejong-31B-v7-i1-GGUF
Source context: 215 downloads · 0 likes · Library transformers · Repo mradermacher/Webs-Sejong-31B-v7-i1-GGUF
