Qwen3.6 28B REAP I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Source du modèle
- Type
- Other
- Taille du fichier
- 147 MB–21,6 GB
- Modèle de base
- 0xSero/Qwen3.6-28B
- Version
- vRevision a1c4b14
- Mis à jour
- 4 nov. 2026
- Éditeur
- @mradermacher
- Téléchargements
- 2,1 k
- Source
- Hugging Face
Description de la source
About
weighted/imatrix quants of https://huggingface.co/0xSero/Qwen3.6-28B
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-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 | 0.3 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 6.3 | for the desperate |
| GGUF | i1-IQ1_M | 6.9 | mostly desperate |
| GGUF | i1-IQ2_XXS | 7.9 | |
| GGUF | i1-IQ2_XS | 8.7 | |
| GGUF | i1-IQ2_S | 8.9 | |
| GGUF | i1-IQ2_M | 9.7 | |
| GGUF | i1-Q2_K_S | 10.1 | very low quality |
| GGUF | i1-Q2_K | 10.7 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 11.3 | lower quality |
| GGUF | i1-IQ3_XS | 12.0 | |
| GGUF | i1-Q3_K_S | 12.5 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 12.6 | beats Q3_K* |
| GGUF | i1-IQ3_M | 12.7 | |
| GGUF | i1-Q3_K_M | 13.8 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 14.9 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 15.4 | |
| GGUF | i1-Q4_0 | 16.3 | fast, low quality |
| GGUF | i1-Q4_K_S | 16.3 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 17.4 | fast, recommended |
| GGUF | i1-Q4_1 | 17.9 | |
| GGUF | i1-Q5_K_S | 19.7 | |
| GGUF | i1-Q5_K_M | 20.3 | |
| GGUF | i1-Q6_K | 23.3 | 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 sourceVérifié 4 nov.
Download files
Repository files
File inventory only; completeness is unverified.
- Qwen3.6-28B-REAP.i1-IQ1_M.gguf
- Qwen3.6-28B-REAP.i1-IQ1_S.gguf
- Qwen3.6-28B-REAP.i1-IQ2_M.gguf
- Qwen3.6-28B-REAP.i1-IQ2_S.gguf
- Qwen3.6-28B-REAP.i1-IQ2_XS.gguf
- Qwen3.6-28B-REAP.i1-IQ2_XXS.gguf
- Qwen3.6-28B-REAP.i1-IQ3_M.gguf
- Qwen3.6-28B-REAP.i1-IQ3_S.gguf
- Qwen3.6-28B-REAP.i1-IQ3_XS.gguf
- Qwen3.6-28B-REAP.i1-IQ3_XXS.gguf
- Qwen3.6-28B-REAP.i1-IQ4_XS.gguf
- Qwen3.6-28B-REAP.i1-Q2_K.gguf
- Qwen3.6-28B-REAP.i1-Q2_K_S.gguf
- Qwen3.6-28B-REAP.i1-Q3_K_L.gguf
- Qwen3.6-28B-REAP.i1-Q3_K_M.gguf
- Qwen3.6-28B-REAP.i1-Q3_K_S.gguf
- Qwen3.6-28B-REAP.i1-Q4_0.gguf
- Qwen3.6-28B-REAP.i1-Q4_1.gguf
- Qwen3.6-28B-REAP.i1-Q4_K_M.gguf
- Qwen3.6-28B-REAP.i1-Q4_K_S.gguf
- Qwen3.6-28B-REAP.i1-Q5_K_M.gguf
- Qwen3.6-28B-REAP.i1-Q5_K_S.gguf
- Qwen3.6-28B-REAP.i1-Q6_K.gguf
- Qwen3.6-28B-REAP.imatrix.gguf
Artefacts du modèle
24 artefacts
Artefacts du modèle
24 artefactsQwen3.6-28B-REAP.i1-IQ1_M.gguf
gguf · 6,33 GB · SHA-256 acefe347269c…f5e3 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ1_S.gguf
gguf · 5,77 GB · SHA-256 b01d1d0188bf…e43f · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ2_M.gguf
gguf · 8,91 GB · SHA-256 9e4ac0d782c5…7ec8 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ2_S.gguf
gguf · 8,16 GB · SHA-256 c1f96d81c037…8247 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ2_XS.gguf
gguf · 8,04 GB · SHA-256 fcc45e84d109…8b2e · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ2_XXS.gguf
gguf · 7,28 GB · SHA-256 1708b8033846…7d0c · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ3_M.gguf
gguf · 11,8 GB · SHA-256 ef72672f9b77…12ac · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ3_S.gguf
gguf · 11,6 GB · SHA-256 db003a014b57…0975 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ3_XS.gguf
gguf · 11,0 GB · SHA-256 9223e268efcf…45d2 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ3_XXS.gguf
gguf · 10,4 GB · SHA-256 89e5205758a5…0a86 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-IQ4_XS.gguf
gguf · 14,3 GB · SHA-256 ee42148d1c71…621c · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q2_K_S.gguf
gguf · Q2_K_S (unverified) · 9,28 GB · SHA-256 d631b5c45d47…6852 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q2_K.gguf
gguf · Q2_K (unverified) · 9,87 GB · SHA-256 648d95dfc89d…127a · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q3_K_L.gguf
gguf · Q3_K_L (unverified) · 13,8 GB · SHA-256 d4e3416527de…47b3 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q3_K_M.gguf
gguf · Q3_K_M (unverified) · 12,8 GB · SHA-256 625a766284a8…7ff7 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q3_K_S.gguf
gguf · Q3_K_S (unverified) · 11,6 GB · SHA-256 d6c8dfa70073…a40f · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q4_0.gguf
gguf · Q4_0 (unverified) · 15,0 GB · SHA-256 7db09f7e598f…b98a · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q4_1.gguf
gguf · Q4_1 (unverified) · 16,6 GB · SHA-256 26f173923a6f…46e3 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q4_K_M.gguf
gguf · Q4_K_M (unverified) · 16,1 GB · SHA-256 d00a901aec7e…ca53 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q4_K_S.gguf
gguf · Q4_K_S (unverified) · 15,1 GB · SHA-256 32720f2970e4…8c69 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q5_K_M.gguf
gguf · Q5_K_M (unverified) · 18,8 GB · SHA-256 e40948800908…c3b2 · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q5_K_S.gguf
gguf · Q5_K_S (unverified) · 18,2 GB · SHA-256 3e94466c5a6b…872a · Hugging Face
Download fileQwen3.6-28B-REAP.i1-Q6_K.gguf
gguf · Q6_K (unverified) · 21,6 GB · SHA-256 65bf58e5a14c…a71e · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- base_model: 0xSero/Qwen3.6-28B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - expert-pruning - mixture-of-experts - pruned - qwen3.6 - qwen3_5_moe - reap --- ## 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/0xSero/Qwen3.6-28B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.6-28B-REAP-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-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/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.i1-IQ1_S.gguf) | i1-IQ1_S | 6.3 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.i1-IQ1_M.gguf) | i1-IQ1_M | 6.9 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 7.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.i1-IQ2_XS.gguf) | i1-IQ2_XS | 8.7 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.i1-IQ2_S.gguf) | i1-IQ2_S | 8.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.6-28B-REAP-i1-GGUF/resolve/main/Qwen3.6-28B-REAP.i1-IQ2_M.gguf) |...
Source context: 2148 downloads · 21 likes · Library transformers · Repo mradermacher/Qwen3.6-28B-REAP-i1-GGUF
Source context: 2050 downloads · 20 likes · Library transformers · Repo mradermacher/Qwen3.6-28B-REAP-i1-GGUF
