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Tema Q X5 Thinking GGUF

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

KindOtherBase modeltemaq-org/Tema_Q-X5-ThinkingVersionRevision edffbdcPublisher@mradermacherCgrade

Model source

Kind
Other
File size
1.56 KB–34.4 GB
Base model
temaq-org/Tema_Q-X5-Thinking
Version
vRevision edffbdc
Updated
Oct 22, 2026
Publisher
@mradermacher
Downloads
319
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/temaq-org/Tema_Q-X5-Thinking

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-i1-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)

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.1multi-modal supplement
GGUFmmproj-f160.1multi-modal supplement
GGUFQ2_K13.0
GGUFQ3_K_S15.3
GGUFQ3_K_M16.9lower quality
GGUFQ3_K_L18.2
GGUFIQ4_XS19.0
GGUFQ4_K_S20.0fast, recommended
GGUFQ4_K_M21.3fast, recommended
GGUFQ5_K_S24.1
GGUFQ5_K_M24.8
GGUFQ6_K28.6very good quality
GGUFQ8_037.0fast, best quality

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
Hugging FacePrimaryVersion edffbdc73d569f9c21ab536decc78846e34461fc
huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/tree/edffbdc73d569f9c21ab536decc78846e34461fc

Verified Oct 22

Model artifacts

13 artifacts

Tema_Q-X5-Thinking.IQ4_XS.gguf

gguf · 17.6 GB · SHA-256 a65e4021b15c…c326 · Hugging Face

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Tema_Q-X5-Thinking.mmproj-f16.gguf

gguf · 1.56 KB · Hugging Face

Tema_Q-X5-Thinking.mmproj-Q8_0.gguf

gguf · 1.56 KB · Hugging Face

Tema_Q-X5-Thinking.Q2_K.gguf

gguf · 12.1 GB · SHA-256 30d26beaf010…d556 · Hugging Face

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Tema_Q-X5-Thinking.Q3_K_L.gguf

gguf · 16.9 GB · SHA-256 8fc1c8db01f2…b325 · Hugging Face

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Tema_Q-X5-Thinking.Q3_K_M.gguf

gguf · 15.6 GB · SHA-256 b1381bd7452c…4887 · Hugging Face

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Tema_Q-X5-Thinking.Q3_K_S.gguf

gguf · 14.1 GB · SHA-256 0307508f4381…9567 · Hugging Face

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Tema_Q-X5-Thinking.Q4_K_M.gguf

gguf · 19.7 GB · SHA-256 fc7e2075acd5…6d6f · Hugging Face

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Tema_Q-X5-Thinking.Q4_K_S.gguf

gguf · 18.5 GB · SHA-256 2cd743a60eae…942f · Hugging Face

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Tema_Q-X5-Thinking.Q5_K_M.gguf

gguf · 23.0 GB · SHA-256 643218682749…1c55 · Hugging Face

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Tema_Q-X5-Thinking.Q5_K_S.gguf

gguf · 22.3 GB · SHA-256 8b381360e827…3688 · Hugging Face

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Tema_Q-X5-Thinking.Q6_K.gguf

gguf · 26.6 GB · SHA-256 630ff055f230…5c65 · Hugging Face

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Tema_Q-X5-Thinking.Q8_0.gguf

gguf · 34.4 GB · SHA-256 83135d311f09…d02b · Hugging Face

Download

Source excerpts

3 excerpts

--- base_model: temaq-org/Tema_Q-X5-Thinking language: - ja - en - zh library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - qwen - qwen3.6 - transformer - instruction-tuned - multilingual - uncensored - non-censored - unfiltered --- ## 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/temaq-org/Tema_Q-X5-Thinking <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Tema_Q-X5-Thinking-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-i1-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/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.1 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.mmproj-f16.gguf) | mmproj-f16 | 0.1 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.Q2_K.gguf) | Q2_K | 13.0 | | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.Q3_K_S.gguf) | Q3_K_S | 15.3 | | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.Q3_K_M.gguf) | Q3_K_M | 16.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.Q3_K_L.gguf) | Q3_K_L | 18.2 | | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-Thinking-GGUF/resolve/main/Tema_Q-X5-Thinking.IQ4_XS.gguf) | IQ4_XS | 19.0 | | | [GGUF](https://huggingface.co/mradermacher/Tema_Q-X5-T...

Source context: 319 downloads · 0 likes · Library transformers · Repo mradermacher/Tema_Q-X5-Thinking-GGUF

Source context: 108 downloads · 0 likes · Library transformers · Repo mradermacher/Tema_Q-X5-Thinking-GGUF