mradermacher/Newton-bot-2A-standard_merged-i1-GGUF

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basemodel: Kolyadual/Newton-bot-2A-standardmerged datasets:

• TeichAI/claude-4.5-opus-high-reasoning-250x
• TeichAI/gemini-3-pro-preview-high-reasoning-1000x
• TeichAI/gpt-5.1-high-reasoning-1000x

language:

• ru
• en
• aa
• ab
• ae
• af
• ak
• am
• an
• ar
• as
• av
• ay
• az
• ba
• be
• bg
• bh
• bi
• bm
• bn
• bo
• br
• bs
• ca
• ce
• ch
• co
• cr
• cs
• cu
• cv
• cy
• da
• de
• dv
• dz
• ee
• el
• eo
• es
• et
• eu
• fa
• ff
• fi
• fj
• fo
• fr
• fy
• ga
• gd
• gl
• gn
• gu
• gv
• ha
• he
• hi
• ho
• hr
• ht
• hu
• hy
• hz
• ia
• id
• ie
• ig
• ii
• ik
• io
• is
• it
• iu
• ja
• jv
• ka
• kg
• ki
• kj
• kk
• kl
• km
• kn
• ko
• kr
• ks
• ku
• kv
• kw
• ky
• la
• lb
• lg
• li
• ln
• lo
• lt
• lu
• lv
• mg
• mh
• mi
• mk
• ml
• mn
• mr
• ms
• mt
• my
• na
• nb
• nd
• ne
• ng
• nl
• nn
• no
• nr
• nv
• ny
• oc
• oj
• om
• or
• os
• pa
• pi
• pl
• ps
• pt
• qu
• rm
• rn
• ro
• rw
• sa
• sc
• si
• sd
• se
• sg
• sk
• sl
• sm
• sn
• so
• sq
• sr
• ss
• st
• su
• sv
• sw
• ta
• te
• tg
• th
• ti
• tk
• uk
• tt
• tw
• ty
• ug
• ur
• uz
• ve
• xh
• yi
• vi
• vo
• wa
• wo
• yo
• za
• zh
• zu
• ts
• tr
• to
• tn
• tl

library_name: transformers license: gpl-3.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• NewtonBot
• biology
• chemistry
• finance
• code
• text-generation-inference
• legal
• moe
• NewtonBotFamilyTree

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About

weighted/imatrix quants of https://huggingface.co/Kolyadual/Newton-bot-2A-standard_merged

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

static quants are available at https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-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 quants)
GGUF	i1-IQ1_S	2.2	for the desperate
GGUF	i1-IQ1_M	2.4	mostly desperate
GGUF	i1-IQ2_XXS	2.6
GGUF	i1-IQ2_XS	2.8
GGUF	i1-IQ2_S	3.0
GGUF	i1-IQ2_M	3.2
GGUF	i1-Q2K_S	3.2	very low quality
GGUF	i1-Q2K	3.4	IQ3XXS probably better
GGUF	i1-IQ3_XXS	3.5	lower quality
GGUF	i1-IQ3_XS	3.7
GGUF	i1-Q3KS	3.9	IQ3XS probably better
GGUF	i1-IQ3S	3.9	beats Q3K*
GGUF	i1-IQ3_M	4.0
GGUF	i1-Q3KM	4.2	IQ3S probably better
GGUF	i1-Q3KL	4.5	IQ3M probably better
GGUF	i1-IQ4_XS	4.7
GGUF	i1-Q4_0	4.9	fast, low quality
GGUF	i1-IQ4NL	4.9	prefer IQ4XS
GGUF	i1-Q4K_S	4.9	optimal size/speed/quality
GGUF	i1-Q4K_M	5.1	fast, recommended
GGUF	i1-Q4_1	5.3
GGUF	i1-Q5K_S	5.8
GGUF	i1-Q5K_M	6.0
GGUF	i1-Q6K	6.8	practically like static Q6K

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.