base_model: shawnw3i/Qwopus3.8-27B-Flash-V2-abliterated
language:
- en
- zh
- es
- ru
- ja
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - image-text-to-text
- vision
- multimodal
- text-generation-inference
- transformers
- unsloth
- conversational
- text-generation
- qwen3_5
- qwen3
- qwen
- 27b
- fine-tuned
- instruction-tuned
- reasoning
- agent
- agentic
- tool-use
- function-calling
- code-generation
- mtp
- speculative-decoding
- local-inference
- safetensors
About
static quants of https://huggingface.co/shawnw3i/Qwopus3.8-27B-Flash-V2-abliterated
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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 | mmproj-Q8_0 | 0.7 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |
| GGUF | Q2_K | 10.8 | |
| GGUF | Q4_K_S | 15.7 | fast, recommended |
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.