---
base_model: Kolyadual/Newton-bot-2A-standard_merged
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
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags: nicoboss -->
<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip:  -->
<!-- ### skip_mmproj:  -->
weighted/imatrix quants of https://huggingface.co/Kolyadual/Newton-bot-2A-standard_merged

<!-- provided-files -->

***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Newton-bot-2A-standard_merged-i1-GGUF).***

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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ1_S.gguf) | i1-IQ1_S | 2.2 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.6 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.8 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ2_S.gguf) | i1-IQ2_S | 3.0 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ2_M.gguf) | i1-IQ2_M | 3.2 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.2 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q2_K.gguf) | i1-Q2_K | 3.4 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.7 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.9 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ3_S.gguf) | i1-IQ3_S | 3.9 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ3_M.gguf) | i1-IQ3_M | 4.0 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.2 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.5 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.7 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q4_0.gguf) | i1-Q4_0 | 4.9 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.9 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.9 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q4_1.gguf) | i1-Q4_1 | 5.3 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.8 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.0 |  |
| [GGUF](https://huggingface.co/mradermacher/Newton-bot-2A-standard_merged-i1-GGUF/resolve/main/Newton-bot-2A-standard_merged.i1-Q6_K.gguf) | i1-Q6_K | 6.8 | practically like static Q6_K |

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

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/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.

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