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base_model: OpenBuddy/openbuddy-deepseek-67b-v15.3-4k
language:
  - zh
  - en
  - fr
  - de
  - ja
  - ko
  - it
  - ru
  - fi
library_name: transformers
license: other
license_link: >-
  https://github.com/deepseek-ai/DeepSeek-LLM/blob/548a39bdd03986297ea4e233a8b7676edd6bec3e/LICENSE-MODEL
license_name: deepseek
quantized_by: mradermacher

About

static quants of https://huggingface.co/OpenBuddy/openbuddy-deepseek-67b-v15.3-4k

weighted/imatrix quants are available at https://huggingface.co/mradermacher/openbuddy-deepseek-67b-v15.3-4k-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 25.2
GGUF Q3_K_S 29.4
GGUF Q3_K_M 32.8 lower quality
GGUF Q3_K_L 35.7
GGUF IQ4_XS 36.6
GGUF Q4_K_S 38.5 fast, recommended
GGUF Q4_K_M 40.5 fast, recommended
GGUF Q5_K_S 46.6
GGUF Q5_K_M 47.8
PART 1 PART 2 Q6_K 55.4 very good quality
PART 1 PART 2 Q8_0 71.7 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.