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mradermacher/Qwen3.5-9B-Fable-5-v1-i1-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: nicoboss < quants: Q2 K IQ3 M Q4 K S IQ3 XXS Q3 K M small IQ4…

transformersgguftext-generation-inferenceunslothqwen3_5endataset:armand0e/claude-fable-5-claude-codebase_model:TeichAI/Qwen3.5-9B-Fable-5-v1base_model:quantized:TeichAI/Qwen3.5-9B-Fable-5-v1license:apache-2.0endpoints_compatibleregion:usimatrixconversational

Runs locally from ~4.9 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Repository Files & Downloads

16 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.5-9B-Fable-5-v1.i1-IQ3_M.ggufGGUFIQ3_M4.21 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-IQ3_S.ggufGGUFIQ3_S4.17 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-IQ4_NL.ggufGGUFIQ4_NL5.17 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-IQ4_XS.ggufGGUFIQ4_XS4.96 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q2_K.ggufGGUFQ2_K3.65 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q3_K_L.ggufGGUFQ3_K_L4.70 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q3_K_M.ggufGGUFQ3_K_M4.41 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q3_K_S.ggufGGUFQ3_K_S4.06 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q4_0.ggufGGUFQ4_05.09 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q4_1.ggufGGUFQ4_15.55 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q4_K_M.ggufGGUFQ4_K_M5.38 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q4_K_S.ggufGGUFQ4_K_S5.11 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q5_K_M.ggufGGUFQ5_K_M6.19 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q5_K_S.ggufGGUFQ5_K_S6.03 GBDownload
Qwen3.5-9B-Fable-5-v1.i1-Q6_K.ggufGGUFQ6_K7.04 GBDownload
Qwen3.5-9B-Fable-5-v1.imatrix.ggufGGUFGGUF4.9 MBDownload

Model Details

Model IDmradermacher/Qwen3.5-9B-Fable-5-v1-i1-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelTeichAI/Qwen3.5-9B-Fable-5-v1
Last modified2026-07-03T11:09:25.000Z

Model README

---

base_model: TeichAI/Qwen3.5-9B-Fable-5-v1

datasets:

  • armand0e/claude-fable-5-claude-code

language:

  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • text-generation-inference
  • transformers
  • unsloth
  • qwen3_5

---

About

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: nicoboss -->

<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->

<!-- ### quants_skip: -->

<!-- ### skip_mmproj: -->

weighted/imatrix quants of https://huggingface.co/TeichAI/Qwen3.5-9B-Fable-5-v1

<!-- provided-files -->

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-9B-Fable-5-v1-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-Q2_K | 4.0 | IQ3_XXS probably better |

| GGUF | i1-Q3_K_S | 4.5 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 4.6 | beats Q3_K* |

| GGUF | i1-IQ3_M | 4.6 | |

| GGUF | i1-Q3_K_M | 4.8 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 5.1 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 5.4 | |

| GGUF | i1-Q4_0 | 5.6 | fast, low quality |

| GGUF | i1-Q4_K_S | 5.6 | optimal size/speed/quality |

| GGUF | i1-IQ4_NL | 5.7 | prefer IQ4_XS |

| GGUF | i1-Q4_K_M | 5.9 | fast, recommended |

| GGUF | i1-Q4_1 | 6.1 | |

| GGUF | i1-Q5_K_S | 6.6 | |

| GGUF | i1-Q5_K_M | 6.7 | |

| GGUF | i1-Q6_K | 7.7 | practically like static Q6_K |

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. Additional thanks to @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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