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metadata
arxiv: 2401.02731
base_model: hywu/Qwen2idae-16x14B-v1.0
datasets:
  - Open-Orca/SlimOrca
  - ise-uiuc/Magicoder-OSS-Instruct-75K
  - ise-uiuc/Magicoder-Evol-Instruct-110K
  - meta-math/MetaMathQA
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

About

static quants of https://huggingface.co/hywu/Qwen2idae-16x14B-v1.0

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
GGUF Q2_K 8.5
GGUF IQ3_XS 9.1
GGUF IQ3_S 9.4 beats Q3_K*
GGUF Q3_K_S 9.4
GGUF IQ3_M 9.7
GGUF Q3_K_M 10.0 lower quality
GGUF Q3_K_L 10.4
GGUF IQ4_XS 10.5
GGUF Q4_K_S 11.1 fast, recommended
GGUF Q4_K_M 11.8 fast, recommended
GGUF Q5_K_S 12.6
GGUF Q5_K_M 13.1
GGUF Q6_K 14.9 very good quality
GGUF Q8_0 17.4 fast, best quality
PART 1 PART 2 SOURCE 56.8 source gguf, only provided when it was hard to come by

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.