base_model: DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - reasoning
- thinking
- cognitivecomputations
- r1
- cot
- deepseek
- Qwen2.5
- Hermes
- DeepHermes
- 128k context
- fine tune
- merge
- uncensored
- abliterated
About
static quants of https://huggingface.co/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-UNCensored-19B-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 | 7.2 | |
| GGUF | Q3_K_S | 8.5 | |
| GGUF | Q3_K_M | 9.3 | lower quality |
| GGUF | Q3_K_L | 10.1 | |
| GGUF | IQ4_XS | 10.5 | |
| GGUF | Q4_K_S | 11.0 | fast, recommended |
| GGUF | Q4_K_M | 11.7 | fast, recommended |
| GGUF | Q5_K_S | 13.3 | |
| GGUF | Q5_K_M | 13.6 | |
| GGUF | Q6_K | 15.7 | very good quality |
| GGUF | Q8_0 | 20.3 | 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.