base_model: aquif-ai/aquif-3.5-Max-1205
language:
- en
- de
- it
- pt
- fr
- hi
- es
- th
- zh
- ja
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- language
- aquif
- text-generation-inference
- reasoning
- math
- coding
- frontier
- aquif-3.5
- moe
About
weighted/imatrix quants of https://huggingface.co/aquif-ai/aquif-3.5-Max-1205
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/aquif-3.5-Max-1205-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 | 0.3 | imatrix file (for creating your own quants) |
| GGUF | i1-Q2_K | 15.7 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 16.5 | lower quality |
| GGUF | i1-IQ3_M | 18.8 | |
| GGUF | i1-Q3_K_M | 20.5 | IQ3_S probably better |
| GGUF | i1-Q4_K_S | 24.3 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 25.8 | 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. 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.