GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

mradermacher/DavidAU_Qwen3.5_40B_RHOpus4.6UCH-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…

transformersggufunslothfine tunehereticuncensoredabliteratedmulti-stage tuned.all use casescodercreativecreative writingfiction writingplot generationsub-plot generationstory generationscene continuestorytellingfiction storyscience fictionromanceall genresstorywriting

Runs locally from ~600.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
498
Likes
1
Pipeline
—

Repository Files & Downloads

13 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.IQ4_XS.ggufGGUFGGUF20.42 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q2_K.ggufGGUFGGUF14.28 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q3_K_L.ggufGGUFGGUF19.29 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q3_K_M.ggufGGUFGGUF17.83 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q3_K_S.ggufGGUFGGUF16.12 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q4_K_M.ggufGGUFGGUF22.29 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q4_K_S.ggufGGUFGGUF20.94 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q5_K_M.ggufGGUFGGUF25.97 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q5_K_S.ggufGGUFGGUF25.20 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q6_K.ggufGGUFGGUF29.87 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q8_0.ggufGGUFGGUF38.68 GBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.mmproj-Q8_0.ggufGGUFQ8_0600.1 MBDownload
DavidAU_Qwen3.5_40B_RHOpus4.6UCH.mmproj-f16.ggufGGUFF16884.6 MBDownload

Model Details

Model IDmradermacher/DavidAU_Qwen3.5_40B_RHOpus4.6UCH-GGUF
Authormradermacher
Pipeline—
Licenseapache-2.0
Base modelBabsie/DavidAU_Qwen3.5_40B_RHOpus4.6UCH
Last modified2026-10-15T21:07:21.000Z

Model README

---

base_model: Babsie/DavidAU_Qwen3.5_40B_RHOpus4.6UCH

datasets:

  • DavidAU/claude-4.5-opus-4datasets-polaris
  • DavidAU/PkDick-Deckard-Datasets

language:

  • en
  • zh

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • unsloth
  • fine tune
  • heretic
  • uncensored
  • abliterated
  • multi-stage tuned.
  • all use cases
  • coder
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • fiction writing
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • roleplaying
  • bfloat16
  • all use cases

---

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/Babsie/DavidAU_Qwen3.5_40B_RHOpus4.6UCH

<!-- 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/DavidAU_Qwen3.5_40B_RHOpus4.6UCH-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 | mmproj-Q8_0 | 0.7 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |

| GGUF | Q2_K | 15.4 | |

| GGUF | Q3_K_S | 17.4 | |

| GGUF | Q3_K_M | 19.2 | lower quality |

| GGUF | Q3_K_L | 20.8 | |

| GGUF | IQ4_XS | 22.0 | |

| GGUF | Q4_K_S | 22.6 | fast, recommended |

| GGUF | Q4_K_M | 24.0 | fast, recommended |

| GGUF | Q5_K_S | 27.2 | |

| GGUF | Q5_K_M | 28.0 | |

| GGUF | Q6_K | 32.2 | very good quality |

| GGUF | Q8_0 | 41.6 | 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. 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 -->

Run mradermacher/DavidAU_Qwen3.5_40B_RHOpus4.6UCH-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models