---
base_model: aquif-ai/aquif-3-moe-17B-A2.8B-Think
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- language
- aquif_moe
- text-generation-inference
- 17b
- qwen-like
- bailing-like
- science
- math
- code
---
## About

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<!-- ### 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 -->
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static quants of https://huggingface.co/aquif-ai/aquif-3-moe-17B-A2.8B-Think

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#aquif-3-moe-17b-a2.8b-thinking-GGUF).***

weighted/imatrix quants are available at https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-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/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q2_K.gguf) | Q2_K | 7.0 |  |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q3_K_S.gguf) | Q3_K_S | 8.1 |  |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q3_K_M.gguf) | Q3_K_M | 8.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q3_K_L.gguf) | Q3_K_L | 9.2 |  |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.IQ4_XS.gguf) | IQ4_XS | 9.4 |  |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q4_K_S.gguf) | Q4_K_S | 10.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q4_K_M.gguf) | Q4_K_M | 11.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q5_K_S.gguf) | Q5_K_S | 12.0 |  |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q5_K_M.gguf) | Q5_K_M | 12.8 |  |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q6_K.gguf) | Q6_K | 15.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/aquif-3-moe-17b-a2.8b-thinking-GGUF/resolve/main/aquif-3-moe-17b-a2.8b-thinking.Q8_0.gguf) | Q8_0 | 18.0 | 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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