base_model: Securelayer7/Qwythos-9B-Claude-Mythos-Uncensored-Abliterated-1M
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - qwen3.5
- uncensored
- abliterated
- uncensored-llm
- no-refusal
- reasoning
- long-context
- 1M-context
- function-calling
- tool-use
- cybersecurity
- red-teaming
- agentic
- sft
About
weighted/imatrix quants of https://huggingface.co/Securelayer7/Qwythos-9B-Claude-Mythos-Uncensored-Abliterated-1M
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Qwythos-9B-Claude-Mythos-Uncensored-Abliterated-1M-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |
| GGUF | i1-Q2_K | 3.9 | IQ3_XXS probably better |
| GGUF | i1-IQ3_M | 4.5 |
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.