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Qwen3.5 4B Base ZitGen V1 GGUF

For a convenient overview and download list, visit our model page for this model.

KindOtherBase modellolzinventor/Qwen3.5-4B-Base-ZitGen-V1VersionRevision 6b7179aBgrade

Model source

Kind
Other
File size
1.78–7.85 GB
Base model
lolzinventor/Qwen3.5-4B-Base-ZitGen-V1
Version
vRevision 6b7179a
Updated
Oct 12, 2026
Downloads
99
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/lolzinventor/Qwen3.5-4B-Base-ZitGen-V1

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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)

LinkTypeSize/GBNotes
GGUFQ2_K2.0
GGUFQ3_K_S2.2
GGUFQ3_K_M2.4lower quality
GGUFQ3_K_L2.5
GGUFIQ4_XS2.6
GGUFQ4_K_S2.7fast, recommended
GGUFQ4_K_M2.8fast, recommended
GGUFQ5_K_S3.1
GGUFQ5_K_M3.2
GGUFQ6_K3.6very good quality
GGUFQ8_04.6fast, best quality
GGUFf168.516 bpw, overkill

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.

Sources

1 source
Hugging FacePrimaryVersion 6b7179ae993c97e464493a8b08aca73c994fd39a
huggingface.co/mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF/tree/6b7179ae993c97e464493a8b08aca73c994fd39a

Verified Aug 27

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Model artifacts

12 artifacts

Qwen3.5-4B-Base-ZitGen-V1.f16.gguf

gguf · 7.85 GB · SHA-256 4996ea395d7a…7d09 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.IQ4_XS.gguf

gguf · 2.36 GB · SHA-256 d62a0f11b863…57b5 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q2_K.gguf

gguf · 1.78 GB · SHA-256 8813303e6353…3dbf · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q3_K_L.gguf

gguf · 2.26 GB · SHA-256 2b49b47377a1…3b89 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q3_K_M.gguf

gguf · 2.11 GB · SHA-256 8acc441025a1…d430 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q3_K_S.gguf

gguf · 1.93 GB · SHA-256 11d3a002d50b…3c91 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q4_K_M.gguf

gguf · 2.52 GB · SHA-256 f761a7bfb544…735f · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q4_K_S.gguf

gguf · 2.39 GB · SHA-256 81be010b3970…7f55 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q5_K_M.gguf

gguf · 2.86 GB · SHA-256 037ea7ad4cba…5afc · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q5_K_S.gguf

gguf · 2.78 GB · SHA-256 be316bfd2115…639e · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q6_K.gguf

gguf · 3.23 GB · SHA-256 0c8caaea8eeb…aef1 · Hugging Face

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Qwen3.5-4B-Base-ZitGen-V1.Q8_0.gguf

gguf · 4.17 GB · SHA-256 8f560ae2e8c3…1c87 · Hugging Face

Download file

Source excerpts

2 excerpts

--- base_model: lolzinventor/Qwen3.5-4B-Base-ZitGen-V1 datasets: - lolzinventor/ZitGen-Dataset-V1 language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - image-to-text - stable-diffusion - prompt-generation - synthetic-data --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/lolzinventor/Qwen3.5-4B-Base-ZitGen-V1 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.5-4B-Base-ZitGen-V1-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/Qwen3.5-4B-Base-ZitGen-V1-GGUF/resolve/main/Qwen3.5-4B-Base-ZitGen-V1.Q2_K.gguf) | Q2_K | 2.0 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF/resolve/main/Qwen3.5-4B-Base-ZitGen-V1.Q3_K_S.gguf) | Q3_K_S | 2.2 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF/resolve/main/Qwen3.5-4B-Base-ZitGen-V1.Q3_K_M.gguf) | Q3_K_M | 2.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF/resolve/main/Qwen3.5-4B-Base-ZitGen-V1.Q3_K_L.gguf) | Q3_K_L | 2.5 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF/resolve/main/Qwen3.5-4B-Base-ZitGen-V1.IQ4_XS.gguf) | IQ4_XS | 2.6 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF/resolve/main/Qwen3.5-4B-Base-ZitGen-V1.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast,...

Source context: 99 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/Qwen3.5-4B-Base-ZitGen-V1-GGUF