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static quants are available at
Source du modèle
Description de la source
weighted/imatrix quants of https://huggingface.co/Qwen/Qwen3-4B
static quants are available at https://huggingface.co/mradermacher/Qwen3-4B-GGUF
If you are unsure how to use GGUF files, refer to one of for more details, including on how to concatenate multi-part files.
Sources
1 sourceVérifié 29 sept.
Artefacts du modèle
24 artefactsQwen3-4B.i1-IQ2_M.gguf
Extraits de sources
2 extraits(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 | 1.2 | for the desperate |
| GGUF | i1-IQ1_M | 1.2 | mostly desperate |
| GGUF | i1-IQ2_XXS | 1.3 | |
| GGUF | i1-IQ2_XS | 1.5 | |
| GGUF |
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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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.
gguf · 1,41 GB · SHA-256 322be0eab69c…f491 · Hugging Face
--- base_model: Qwen/Qwen3-4B language: - en library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/Qwen/Qwen3-4B <!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Qwen3-4B-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/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ1_S.gguf) | i1-IQ1_S | 1.2 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.2 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.5 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ2_S.gguf) | i1-IQ2_S | 1.5 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ2_M.gguf) | i1-IQ2_M | 1.6 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.7 | very low quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-Q2_K.gguf) | i1-Q2_K | 1.8 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-i1-GGUF/resolve/main/Qwen3-4B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 2.0 | IQ3_XS probably better | | [GGUF...
Source context: 2002 downloads · 5 likes · Library transformers · Repo mradermacher/Qwen3-4B-i1-GGUF
| i1-IQ2_S |
| 1.5 |
| GGUF | i1-IQ2_M | 1.6 |
| GGUF | i1-Q2_K_S | 1.7 | very low quality |
| GGUF | i1-Q2_K | 1.8 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 1.8 | lower quality |
| GGUF | i1-IQ3_XS | 1.9 |
| GGUF | i1-Q3_K_S | 2.0 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 2.0 | beats Q3_K* |
| GGUF | i1-IQ3_M | 2.1 |
| GGUF | i1-Q3_K_M | 2.2 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 2.3 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 2.4 |
| GGUF | i1-Q4_0 | 2.5 | fast, low quality |
| GGUF | i1-IQ4_NL | 2.5 | prefer IQ4_XS |
| GGUF | i1-Q4_K_S | 2.5 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 2.6 | fast, recommended |
| GGUF | i1-Q4_1 | 2.7 |
| GGUF | i1-Q5_K_S | 2.9 |
| GGUF | i1-Q5_K_M | 3.0 |
| GGUF | i1-Q6_K | 3.4 | practically like static Q6_K |
