base_model: OpenYourMind/Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated
language:
- en
library_name: transformers
license: mit
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - qwen
- qwen3
- qwen3.5
- moe
- abliterated
- uncensored
- sft
- dpo
- opus
- qwopus
- kimi
- kimi-k2
- distill
- multimodal
- vision
- mtp
About
static quants of https://huggingface.co/OpenYourMind/Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs 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 | 45.9 | |
| GGUF | Q3_K_S | 54.1 | |
| GGUF | Q3_K_M | 59.9 | lower quality |
| GGUF | Q3_K_L | 64.8 | |
| GGUF | IQ4_XS | 67.7 | |
| GGUF | Q4_K_S | 71.2 | fast, recommended |
| GGUF | Q4_K_M | 75.9 | fast, recommended |
| GGUF | Q5_K_S | 86.0 | |
| GGUF | Q5_K_M | 88.8 | |
| PART 1 PART 2 PART 3 | Q6_K | 102.5 | very good quality |
| PART 1 PART 2 PART 3 | Q8_0 | 132.7 | 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.