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StonedWizards/Fallen-Command-A-111B-v1-i1-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: nicoboss weighted/imatrix quants of https://huggingface.co/Th…

transformersggufenbase_model:TheDrummer/Fallen-Command-A-111B-v1base_model:quantized:TheDrummer/Fallen-Command-A-111B-v1license:otherendpoints_compatibleregion:usimatrixconversational

Runs locally from ~22.94 GB disk (24 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

12 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Fallen-Command-A-111B-v1.i1-IQ1_M.ggufGGUFIQ1_M24.99 GBDownload
Fallen-Command-A-111B-v1.i1-IQ1_S.ggufGGUFIQ1_S22.94 GBDownload
Fallen-Command-A-111B-v1.i1-IQ2_M.ggufGGUFIQ2_M35.75 GBDownload
Fallen-Command-A-111B-v1.i1-IQ2_S.ggufGGUFIQ2_S33.02 GBDownload
Fallen-Command-A-111B-v1.i1-IQ2_XS.ggufGGUFIQ2_XS31.41 GBDownload
Fallen-Command-A-111B-v1.i1-IQ2_XXS.ggufGGUFIQ2_XXS28.40 GBDownload
Fallen-Command-A-111B-v1.i1-IQ3_S.ggufGGUFIQ3_S45.70 GBDownload
Fallen-Command-A-111B-v1.i1-IQ3_XS.ggufGGUFIQ3_XS43.34 GBDownload
Fallen-Command-A-111B-v1.i1-IQ3_XXS.ggufGGUFIQ3_XXS40.45 GBDownload
Fallen-Command-A-111B-v1.i1-Q2_K.ggufGGUFQ2_K39.22 GBDownload
Fallen-Command-A-111B-v1.i1-Q2_K_S.ggufGGUFQ2_K_S36.36 GBDownload
Fallen-Command-A-111B-v1.i1-Q3_K_S.ggufGGUFQ3_K_S45.60 GBDownload

Model Details

Model IDStonedWizards/Fallen-Command-A-111B-v1-i1-GGUF
AuthorStonedWizards
Pipeline
Licenseother
Base modelTheDrummer/Fallen-Command-A-111B-v1
Last modified2026-08-26T13:42:51.000Z

Model README

---

base_model: TheDrummer/Fallen-Command-A-111B-v1

language:

  • en

library_name: transformers

license: other

quantized_by: mradermacher

---

About

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

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

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

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

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

weighted/imatrix quants of https://huggingface.co/TheDrummer/Fallen-Command-A-111B-v1

<!-- provided-files -->

static quants are available at https://huggingface.co/mradermacher/Fallen-Command-A-111B-v1-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 | i1-IQ1_S | 24.7 | for the desperate |

| GGUF | i1-IQ1_M | 26.9 | mostly desperate |

| GGUF | i1-IQ2_XXS | 30.6 | |

| GGUF | i1-IQ2_XS | 33.8 | |

| GGUF | i1-IQ2_S | 35.6 | |

| GGUF | i1-IQ2_M | 38.5 | |

| GGUF | i1-Q2_K_S | 39.1 | very low quality |

| GGUF | i1-Q2_K | 42.2 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 43.5 | lower quality |

| GGUF | i1-IQ3_XS | 46.6 | |

| GGUF | i1-Q3_K_S | 49.1 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 49.2 | beats Q3_K* |

| PART 1 PART 2 | i1-IQ3_M | 50.9 | |

| PART 1 PART 2 | i1-Q3_K_M | 54.5 | IQ3_S probably better |

| PART 1 PART 2 | i1-Q3_K_L | 59.2 | IQ3_M probably better |

| PART 1 PART 2 | i1-IQ4_XS | 60.1 | |

| PART 1 PART 2 | i1-Q4_0 | 63.6 | fast, low quality |

| PART 1 PART 2 | i1-Q4_K_S | 63.9 | optimal size/speed/quality |

| PART 1 PART 2 | i1-Q4_K_M | 67.2 | fast, recommended |

| PART 1 PART 2 | i1-Q4_1 | 70.1 | |

| PART 1 PART 2 | i1-Q5_K_S | 76.9 | |

| PART 1 PART 2 | i1-Q5_K_M | 78.9 | |

| PART 1 PART 2 | i1-Q6_K | 91.2 | 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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