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mradermacher/Qwen35B-Agent-R2-GGUF overview

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…

transformersggufqwenmoemixture-of-expertsagentagent-worldtool-usetool-callingreasoningsftopusfableconversationaltext-generationthaiykaienthdataset:hotdogs/uka-fable-reasoningdataset:11-47/claude_opus_4.8_max_thinking_5k_v2dataset:cx-cmu/agent_trajectoriesbase_model:hotdogs/Qwen35B-Agent-R2base_model:quantized:hotdogs/Qwen35B-Agent-R2

Runs locally from ~12.05 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen35B-Agent-R2.IQ4_XS.ggufGGUFGGUF17.64 GBDownload
Qwen35B-Agent-R2.Q2_K.ggufGGUFGGUF12.05 GBDownload
Qwen35B-Agent-R2.Q3_K_L.ggufGGUFGGUF16.87 GBDownload
Qwen35B-Agent-R2.Q3_K_M.ggufGGUFGGUF15.61 GBDownload
Qwen35B-Agent-R2.Q3_K_S.ggufGGUFGGUF14.14 GBDownload
Qwen35B-Agent-R2.Q4_K_M.ggufGGUFGGUF19.71 GBDownload
Qwen35B-Agent-R2.Q4_K_S.ggufGGUFGGUF18.52 GBDownload
Qwen35B-Agent-R2.Q5_K_M.ggufGGUFGGUF23.03 GBDownload
Qwen35B-Agent-R2.Q5_K_S.ggufGGUFGGUF22.33 GBDownload
Qwen35B-Agent-R2.Q6_K.ggufGGUFGGUF26.56 GBDownload
Qwen35B-Agent-R2.Q8_0.ggufGGUFGGUF34.37 GBDownload

Model Details

Model IDmradermacher/Qwen35B-Agent-R2-GGUF
Authormradermacher
Pipelinetext-generation
Licenseagpl-3.0
Base modelhotdogs/Qwen35B-Agent-R2
Last modified2026-07-11T17:33:58.000Z

Model README

---

base_model: hotdogs/Qwen35B-Agent-R2

datasets:

  • hotdogs/uka-fable-reasoning
  • 11-47/claude_opus_4.8_max_thinking_5k_v2
  • cx-cmu/agent_trajectories

language:

  • en
  • th

library_name: transformers

license: agpl-3.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • qwen
  • moe
  • mixture-of-experts
  • agent
  • agent-world
  • tool-use
  • tool-calling
  • reasoning
  • sft
  • opus
  • fable
  • conversational
  • transformers
  • text-generation
  • thai
  • ykai

---

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/hotdogs/Qwen35B-Agent-R2

<!-- provided-files -->

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen35B-Agent-R2-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 | 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.

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