Tema Q X5 Thinking GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 1,56 KB–34,4 GB
- Basismodell
- temaq-org/Tema_Q-X5-Thinking
- Version
- vRevision edffbdc
- Aktualisiert
- 22. Okt. 2026
- Verleger
- @mradermacher
- Downloads
- 319
- Quelle
- Hugging Face
Quellenbeschreibung
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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | mmproj-Q8_0 | 0.1 | multi-modal supplement |
| GGUF | mmproj-f16 | 0.1 | multi-modal supplement |
| GGUF | Q2_K | 13.0 | |
| GGUF | Q3_K_S | 15.3 | |
| GGUF | Q3_K_M | 16.9 | lower quality |
| GGUF | Q3_K_L | 18.2 | |
| GGUF | IQ4_XS | 19.0 | |
| GGUF | Q4_K_S | 20.0 | fast, recommended |
| GGUF | Q4_K_M | 21.3 | fast, recommended |
| GGUF | Q5_K_S | 24.1 | |
| GGUF | Q5_K_M | 24.8 | |
| GGUF | Q6_K | 28.6 | very good quality |
| GGUF | Q8_0 | 37.0 | fast, 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.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 22. Okt.
Modellartefakte
13 Artefakte
Modellartefakte
13 ArtefakteTema_Q-X5-Thinking.IQ4_XS.gguf
gguf · 17,6 GB · SHA-256 a65e4021b15c…c326 · Hugging Face
HerunterladenTema_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.Q3_K_L.gguf
gguf · 16,9 GB · SHA-256 8fc1c8db01f2…b325 · Hugging Face
HerunterladenTema_Q-X5-Thinking.Q3_K_M.gguf
gguf · 15,6 GB · SHA-256 b1381bd7452c…4887 · Hugging Face
HerunterladenTema_Q-X5-Thinking.Q3_K_S.gguf
gguf · 14,1 GB · SHA-256 0307508f4381…9567 · Hugging Face
HerunterladenTema_Q-X5-Thinking.Q4_K_M.gguf
gguf · 19,7 GB · SHA-256 fc7e2075acd5…6d6f · Hugging Face
HerunterladenTema_Q-X5-Thinking.Q4_K_S.gguf
gguf · 18,5 GB · SHA-256 2cd743a60eae…942f · Hugging Face
HerunterladenTema_Q-X5-Thinking.Q5_K_M.gguf
gguf · 23,0 GB · SHA-256 643218682749…1c55 · Hugging Face
HerunterladenTema_Q-X5-Thinking.Q5_K_S.gguf
gguf · 22,3 GB · SHA-256 8b381360e827…3688 · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- 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
