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…
Runs locally from ~600.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.IQ4_XS.gguf | GGUF | GGUF | 20.42 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q2_K.gguf | GGUF | GGUF | 14.28 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q3_K_L.gguf | GGUF | GGUF | 19.29 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q3_K_M.gguf | GGUF | GGUF | 17.83 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q3_K_S.gguf | GGUF | GGUF | 16.12 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q4_K_M.gguf | GGUF | GGUF | 22.29 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q4_K_S.gguf | GGUF | GGUF | 20.94 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q5_K_M.gguf | GGUF | GGUF | 25.97 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q5_K_S.gguf | GGUF | GGUF | 25.20 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q6_K.gguf | GGUF | GGUF | 29.87 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.Q8_0.gguf | GGUF | GGUF | 38.68 GB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.mmproj-Q8_0.gguf | GGUF | Q8_0 | 600.1 MB | Download |
| DavidAU_Qwen3.5_40B_RHOpus4.6UCH.mmproj-f16.gguf | GGUF | F16 | 884.6 MB | Download |
Model Details
| Model ID | mradermacher/DavidAU_Qwen3.5_40B_RHOpus4.6UCH-GGUF |
|---|---|
| Author | mradermacher |
| Pipeline | — |
| License | apache-2.0 |
| Base model | Babsie/DavidAU_Qwen3.5_40B_RHOpus4.6UCH |
| Last modified | 2026-10-15T21:07:21.000Z |
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):
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.
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