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metadata
base_model: HelpingAI/Dhanishtha-2.0-preview
datasets:
  - Abhaykoul/Dhanishtha-R1
  - open-thoughts/OpenThoughts-114k
  - Abhaykoul/Dhanishtha-2.0-SUPERTHINKER
  - Abhaykoul/Dhanishtha-2.0
language:
  - en
  - hi
  - zh
  - es
  - fr
  - de
  - ja
  - ko
  - ar
  - pt
  - ru
  - it
  - nl
  - tr
  - pl
  - sv
  - da
  - 'no'
  - fi
  - he
  - th
  - vi
  - id
  - ms
  - tl
  - sw
  - yo
  - zu
  - am
  - bn
  - gu
  - kn
  - ml
  - mr
  - ne
  - or
  - pa
  - ta
  - te
  - ur
  - multilingual
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - reasoning
  - intermediate-thinking
  - transformers
  - conversational
  - bilingual

About

weighted/imatrix quants of https://huggingface.co/HelpingAI/Dhanishtha-2.0-preview

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Dhanishtha-2.0-preview-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 0.1 imatrix file (for creating your own qwuants)
GGUF i1-IQ1_S 3.7 for the desperate
GGUF i1-IQ1_M 3.9 mostly desperate
GGUF i1-IQ2_XXS 4.4
GGUF i1-IQ2_XS 4.8
GGUF i1-IQ2_S 5.1
GGUF i1-IQ2_M 5.4
GGUF i1-Q2_K_S 5.5 very low quality
GGUF i1-Q2_K 5.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 6.0 lower quality
GGUF i1-IQ3_XS 6.5
GGUF i1-Q3_K_S 6.8 IQ3_XS probably better
GGUF i1-IQ3_S 6.8 beats Q3_K*
GGUF i1-IQ3_M 7.0
GGUF i1-Q3_K_M 7.4 IQ3_S probably better
GGUF i1-Q3_K_L 8.0 IQ3_M probably better
GGUF i1-IQ4_XS 8.2
GGUF i1-IQ4_NL 8.6 prefer IQ4_XS
GGUF i1-Q4_0 8.6 fast, low quality
GGUF i1-Q4_K_S 8.7 optimal size/speed/quality
GGUF i1-Q4_K_M 9.1 fast, recommended
GGUF i1-Q4_1 9.5
GGUF i1-Q5_K_S 10.4
GGUF i1-Q5_K_M 10.6
GGUF i1-Q6_K 12.2 practically like static Q6_K

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.