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Model: mradermacher/Qwen3-8B-Esper3-i1-GGUF
Source: Original Platform

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README.md

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+---
+base_model: ValiantLabs/Qwen3-8B-Esper3
+datasets:
+- sequelbox/Titanium2.1-DeepSeek-R1
+- sequelbox/Tachibana2-DeepSeek-R1
+- sequelbox/Raiden-DeepSeek-R1
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- esper
+- esper-3
+- valiant
+- valiant-labs
+- qwen
+- qwen-3
+- qwen-3-8b
+- 8b
+- reasoning
+- code
+- code-instruct
+- python
+- javascript
+- dev-ops
+- jenkins
+- terraform
+- scripting
+- powershell
+- azure
+- aws
+- gcp
+- cloud
+- problem-solving
+- architect
+- engineer
+- developer
+- creative
+- analytical
+- expert
+- rationality
+- conversational
+- chat
+- instruct
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags: nicoboss -->
+weighted/imatrix quants of https://huggingface.co/ValiantLabs/Qwen3-8B-Esper3
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-8B-Esper3-i1-GGUF).***
+
+static quants are available at https://huggingface.co/mradermacher/Qwen3-8B-Esper3-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/Qwen3-8B-Esper3-i1-GGUF/resolve/master/Qwen3-8B-Esper3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.8 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Qwen3-8B-Esper3-i1-GGUF/resolve/master/Qwen3-8B-Esper3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.7 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Qwen3-8B-Esper3-i1-GGUF/resolve/master/Qwen3-8B-Esper3.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.7 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Qwen3-8B-Esper3-i1-GGUF/resolve/master/Qwen3-8B-Esper3.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.1 | fast, recommended |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Qwen3-8B-Esper3-i1-GGUF/resolve/master/Qwen3-8B-Esper3.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.0 |  |
+| [GGUF](https://www.modelscope.cn/models/mradermacher/Qwen3-8B-Esper3-i1-GGUF/resolve/master/Qwen3-8B-Esper3.i1-Q6_K.gguf) | i1-Q6_K | 6.8 | 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 -->
+