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Qwen3 4B I1 GGUF | ST Studio
Resources / Qwen3 4B I1 GGUF Qwen3 4B I1 GGUF static quants are available at
static quants are available at
Kind Other Base model Qwen/Qwen3-4B Version main
Model source
Kind Other
File size 1,006 MB–3.08 GB
Base model Qwen/Qwen3-4B
Version vmain
Updated Sep 29, 2026
Downloads 2K
Source Hugging Face Model artifacts
24 artifacts Qwen3-4B.i1-IQ1_M.gguf
gguf · 1.05 GB · SHA-256 6bb306b797e1…703e · Hugging Face
Download Qwen3-4B.i1-IQ1_S.gguf
gguf · 1,006 MB · SHA-256 2923545370da…4859 · Hugging Face
Download Source excerpts
2 excerpts
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 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):
FAQ / Model Request
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.
gguf · 1.41 GB · SHA-256 322be0eab69c…f491 · Hugging Face
Qwen3-4B.i1-IQ2_S.gguf
gguf · 1.32 GB · SHA-256 e96f1a3d9d8c…6903 · Hugging Face
Download Qwen3-4B.i1-IQ2_XS.gguf
gguf · 1.26 GB · SHA-256 26a1e8b29ed6…48f9 · Hugging Face
Download Qwen3-4B.i1-IQ2_XXS.gguf
gguf · 1.16 GB · SHA-256 a9082caac764…4b8f · Hugging Face
Download Qwen3-4B.i1-IQ3_M.gguf
gguf · 1.83 GB · SHA-256 7eecb7725ffa…0827 · Hugging Face
Download Qwen3-4B.i1-IQ3_S.gguf
gguf · 1.77 GB · SHA-256 0f42189d158d…a824 · Hugging Face
Download Qwen3-4B.i1-IQ3_XS.gguf
gguf · 1.69 GB · SHA-256 5dd23e33ad7b…42c3 · Hugging Face
Download Qwen3-4B.i1-IQ3_XXS.gguf
gguf · 1.56 GB · SHA-256 c5564edf744d…30d8 · Hugging Face
Download Qwen3-4B.i1-IQ4_NL.gguf
gguf · 2.22 GB · SHA-256 7bece240517a…c258 · Hugging Face
Download Qwen3-4B.i1-IQ4_XS.gguf
gguf · 2.11 GB · SHA-256 0357e192ca5c…4510 · Hugging Face
Download Qwen3-4B.i1-Q2_K_S.gguf
gguf · 1.46 GB · SHA-256 9d7b1f989e68…f5be · Hugging Face
Download Qwen3-4B.i1-Q2_K.gguf
gguf · 1.55 GB · SHA-256 4ad818ab7f76…4b71 · Hugging Face
Download Qwen3-4B.i1-Q3_K_L.gguf
gguf · 2.09 GB · SHA-256 8f57b32e2065…2d12 · Hugging Face
Download Qwen3-4B.i1-Q3_K_M.gguf
gguf · 1.93 GB · SHA-256 956f869371ec…2af6 · Hugging Face
Download Qwen3-4B.i1-Q3_K_S.gguf
gguf · 1.76 GB · SHA-256 d0e715f5f02d…a85c · Hugging Face
Download Qwen3-4B.i1-Q4_0.gguf
gguf · 2.21 GB · SHA-256 1e13969926ba…3485 · Hugging Face
Download Qwen3-4B.i1-Q4_1.gguf
gguf · 2.42 GB · SHA-256 886650793eb8…6444 · Hugging Face
Download Qwen3-4B.i1-Q4_K_M.gguf
gguf · 2.33 GB · SHA-256 fa9513ef8b6d…8012 · Hugging Face
Download Qwen3-4B.i1-Q4_K_S.gguf
gguf · 2.22 GB · SHA-256 5a71cfa4b3b7…f0b4 · Hugging Face
Download Qwen3-4B.i1-Q5_K_M.gguf
gguf · 2.69 GB · SHA-256 882d799780c9…91bb · Hugging Face
Download Qwen3-4B.i1-Q5_K_S.gguf
gguf · 2.63 GB · SHA-256 5c1e0d60d999…3dc0 · Hugging Face
Download Qwen3-4B.i1-Q6_K.gguf
gguf · 3.08 GB · SHA-256 4436d9c7f0f0…ed78 · Hugging Face
Download ---
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
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-Q3_K_S 2.0 IQ3_XS probably better
GGUF i1-IQ3_S 2.0 beats Q3_K*
GGUF i1-Q3_K_M 2.2 IQ3_S probably better
GGUF i1-Q3_K_L 2.3 IQ3_M probably better
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-Q6_K 3.4 practically like static Q6_K
