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Model: mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF
Source: Original Platform

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README.md

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+---
+base_model: prithivMLmods/Tureis-Qwen3_QWQ-4B-Exp
+datasets:
+- xl-zhao/PromptCoT-QwQ-Dataset
+- qingy2024/QwQ-LongCoT-Verified-130K
+- PowerInfer/QWQ-LONGCOT-500K
+- Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- cot
+- text-generation-inference
+- moe
+- code
+- math
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags: nicoboss -->
+weighted/imatrix quants of https://huggingface.co/prithivMLmods/Tureis-Qwen3_QWQ-4B-Exp
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF).***
+
+static quants are available at https://huggingface.co/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-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://www.modelscope.cn/models/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF/resolve/master/Tureis-Qwen3_QWQ-4B-Exp.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.5 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF/resolve/master/Tureis-Qwen3_QWQ-4B-Exp.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.9 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF/resolve/master/Tureis-Qwen3_QWQ-4B-Exp.i1-IQ4_XS.gguf) | i1-IQ4_XS | 2.4 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF/resolve/master/Tureis-Qwen3_QWQ-4B-Exp.i1-Q4_K_M.gguf) | i1-Q4_K_M | 2.6 | fast, recommended |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF/resolve/master/Tureis-Qwen3_QWQ-4B-Exp.i1-Q5_K_M.gguf) | i1-Q5_K_M | 3.0 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Tureis-Qwen3_QWQ-4B-Exp-i1-GGUF/resolve/master/Tureis-Qwen3_QWQ-4B-Exp.i1-Q6_K.gguf) | i1-Q6_K | 3.4 | practically like static Q6_K |
+
+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. Additional thanks to [@nicoboss](https://huggingface.co/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.
+
+<!-- end -->
+

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