Qwen3 Coder 57B I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Source du modèle
- Type
- Other
- Taille du fichier
- 307 MB–43,3 GB
- Modèle de base
- 0xSero/Qwen3-Coder-57B
- Version
- vRevision e30fe50
- Mis à jour
- 23 oct. 2026
- Éditeur
- @mradermacher
- Téléchargements
- 832
- Paramètres
- 57B
- Source
- Hugging Face
Description de la source
About
weighted/imatrix quants of https://huggingface.co/0xSero/Qwen3-Coder-57B
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-57B-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 | 0.4 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 11.9 | for the desperate |
| GGUF | i1-IQ1_M | 13.1 | mostly desperate |
| GGUF | i1-IQ2_XXS | 15.2 | |
| GGUF | i1-IQ2_XS | 16.9 | |
| GGUF | i1-IQ2_S | 17.1 | |
| GGUF | i1-IQ2_M | 18.8 | |
| GGUF | i1-Q2_K_S | 19.6 | very low quality |
| GGUF | i1-Q2_K | 20.9 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 22.1 | lower quality |
| GGUF | i1-IQ3_XS | 23.5 | |
| GGUF | i1-Q3_K_S | 24.7 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 24.7 | beats Q3_K* |
| GGUF | i1-IQ3_M | 25.1 | |
| GGUF | i1-Q3_K_M | 27.3 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 29.5 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 30.5 | |
| GGUF | i1-Q4_0 | 32.3 | fast, low quality |
| GGUF | i1-Q4_K_S | 32.4 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 34.5 | fast, recommended |
| GGUF | i1-Q4_1 | 35.6 | |
| GGUF | i1-Q5_K_S | 39.2 | |
| GGUF | i1-Q5_K_M | 40.4 | |
| GGUF | i1-Q6_K | 46.6 | 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 23 oct.
Artefacts du modèle
24 artefacts
Artefacts du modèle
24 artefactsExtraits de sources
3 extraits
Extraits de sources
3 extraits--- base_model: 0xSero/Qwen3-Coder-57B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - cerebras - expert-pruning - moe - pruning - qwen3 - qwen3-coder - qwen3_next - reap - safetensors --- ## 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-Coder-57B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-Coder-57B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-57B-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-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-57B.imatrix.gguf) | imatrix | 0.4 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-57B.i1-IQ1_S.gguf) | i1-IQ1_S | 11.9 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-57B.i1-IQ1_M.gguf) | i1-IQ1_M | 13.1 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-57B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 15.2 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-57B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 16.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-57B.i1-IQ2_S.gguf) | i1-IQ2_S | 17.1 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-57B-i1-GGUF/resolve/main/Qwen3-Coder-5...
Source context: 832 downloads · 0 likes · Library transformers · Repo mradermacher/Qwen3-Coder-57B-i1-GGUF
Source context: 183 downloads · 0 likes · Library transformers · Repo mradermacher/Qwen3-Coder-57B-i1-GGUF
