Webs Sejong 31B v2 I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Model source
- Kind
- Other
- File size
- 13.1 MB–23.5 GB
- Base model
- websfactory/Webs-Sejong-31B-v2
- Version
- vRevision 99860a2
- Updated
- Oct 4, 2026
- Publisher
- @mradermacher
- Downloads
- 1.3K
- Parameters
- 31B
- Source
- Hugging Face
Source description
About
weighted/imatrix quants of https://huggingface.co/websfactory/Webs-Sejong-31B-v2
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-v2-GGUF
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.
Sources
1 source
Sources
1 sourceVerified Oct 4
Model artifacts
24 artifacts
Model artifacts
24 artifactsSource excerpts
3 excerpts
Source excerpts
3 excerpts--- base_model: websfactory/Webs-Sejong-31B-v2 language: - ko - en library_name: transformers license: gemma mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - merge - 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-v2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Webs-Sejong-31B-v2-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-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-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 7.3 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.8 | | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.6 | | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 10.3 | | | [GGUF](https://huggingface.co/mradermacher/Webs-Sejong-31B-v2-i1-GGUF/resolve/main/Webs-Sejong-31B-v2.i1-IQ2_M.gg...
Source context: 1252 downloads · 0 likes · Library transformers · Repo mradermacher/Webs-Sejong-31B-v2-i1-GGUF
Source context: 6184 downloads · 0 likes · Library transformers · Repo mradermacher/Webs-Sejong-31B-v2-i1-GGUF
