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Trinity-Large-Thinking-GGUF

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---
arxiv:
- 2602.17004
base_model: arcee-ai/Trinity-Large-Thinking
language:
- en
- es
- fr
- de
- it
- pt
- ru
- ar
- hi
- ko
- zh
library_name: transformers
license: other
license_link: LICENSE
license_name: openmdw-1.1
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- reasoning
- agentic
- tool-calling
- thinking
---
## 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/arcee-ai/Trinity-Large-Thinking
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Trinity-Large-Thinking-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Trinity-Large-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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q2_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q2_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q2_K.gguf.part3of3) | Q2_K | 144.9 | |
| [PART 1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_S.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_S.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_S.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_S.gguf.part4of4) | Q3_K_S | 171.8 | |
| [PART 1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_M.gguf.part4of4) | Q3_K_M | 189.4 | lower quality |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_L.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_L.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_L.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_L.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q3_K_L.gguf.part5of5) | Q3_K_L | 206.0 | |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.IQ4_XS.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.IQ4_XS.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.IQ4_XS.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.IQ4_XS.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.IQ4_XS.gguf.part5of5) | IQ4_XS | 212.7 | |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_S.gguf.part5of5) | Q4_K_S | 225.0 | fast, recommended |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_M.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_M.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_M.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_M.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q4_K_M.gguf.part5of5) | Q4_K_M | 239.7 | fast, recommended |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_S.gguf.part1of6) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_S.gguf.part2of6) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_S.gguf.part3of6) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_S.gguf.part4of6) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_S.gguf.part5of6) [P6](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_S.gguf.part6of6) | Q5_K_S | 274.4 | |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_M.gguf.part1of6) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_M.gguf.part2of6) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_M.gguf.part3of6) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_M.gguf.part4of6) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_M.gguf.part5of6) [P6](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q5_K_M.gguf.part6of6) | Q5_K_M | 282.2 | |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part1of7) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part2of7) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part3of7) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part4of7) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part5of7) [P6](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part6of7) [P7](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q6_K.gguf.part7of7) | Q6_K | 327.3 | very good quality |
| [P1](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part1of9) [P2](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part2of9) [P3](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part3of9) [P4](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part4of9) [P5](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part5of9) [P6](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part6of9) [P7](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part7of9) [P8](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part8of9) [P9](https://huggingface.co/mradermacher/Trinity-Large-Thinking-GGUF/resolve/main/Trinity-Large-Thinking.Q8_0.gguf.part9of9) | Q8_0 | 423.8 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
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