Zireal-0-GGUF / README.md
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metadata
base_model: Daemontatox/Zireal-0
datasets:
  - Daemontatox/Reasoning_am
  - pbcong/gsm8k_step_by_step
  - Daemontatox/Deepthinking-COT
  - Daemontatox/Qwqloncotam
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - wip
  - experimental
  - moe
  - finetune
  - research
  - reasoning

About

static quants of https://huggingface.co./Daemontatox/Zireal-0

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
P1 P2 P3 P4 P5 Q2_K 244.1
P1 P2 P3 P4 P5 P6 Q3_K_S 289.2
P1 P2 P3 P4 P5 P6 P7 Q3_K_M 319.3 lower quality
P1 P2 P3 P4 P5 P6 P7 P8 Q3_K_L 347.5
P1 P2 P3 P4 P5 P6 P7 P8 IQ4_XS 359.6
P1 P2 P3 P4 P5 P6 P7 P8 Q4_K_S 380.1 fast, recommended
P1 P2 P3 P4 P5 P6 P7 P8 P9 Q4_K_M 404.5 fast, recommended
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 Q5_K_S 461.9
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 Q5_K_M 475.5
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 Q6_K 550.9 very good quality
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 Q8_0 713.4 fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

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.