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Kepler Reasoning 7B I1 GGUF | ST Studio
Recursos / Kepler Reasoning 7B I1 GGUF Kepler Reasoning 7B I1 GGUF For a convenient overview and download list, visit our model page for this model.
For a convenient overview and download list, visit our model page for this model.
Tipo Other Modelo base aryyanthakrr/Kepler-Reasoning-7B Versão 965647ad1e08de3b77b7e62cb812a0e574d43d71 Publicador @mradermacher C nota Fonte do modelo
Tipo Other
Tamanho do arquivo 4,35 MB–5,82 GB
Modelo base aryyanthakrr/Kepler-Reasoning-7B
Versão v965647ad1e08de3b77b7e62cb812a0e574d43d71
Atualizado 4 de jul. de 2026
Parâmetros 7B
Fonte Hugging Face Artefatos de modelo
25 artefatos Kepler-Reasoning-7B.i1-IQ1_M.gguf
gguf · 1,90 GB · SHA-256 2cc241790c9d…8812 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ1_S.gguf
gguf · 1,77 GB · SHA-256 79ee0b0252d9…af3b · Hugging Face
Baixar Trechos de fonte
3 trechos
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 2.0 for the desperate GGUF i1-IQ1_M 2.1 mostly desperate GGUF i1-IQ2_XXS 2.4
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
FAQ / Model Request
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.
Kepler-Reasoning-7B.i1-IQ2_M.gguf
gguf · 2,59 GB · SHA-256 d1105f31421b…90f7 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ2_S.gguf
gguf · 2,42 GB · SHA-256 bc12f01e24b2…e5ad · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ2_XS.gguf
gguf · 2,30 GB · SHA-256 d504282bcfc7…762e · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ2_XXS.gguf
gguf · 2,12 GB · SHA-256 fbb473b5e345…ee9a · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ3_M.gguf
gguf · 3,33 GB · SHA-256 d64efdf12172…2de2 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ3_S.gguf
gguf · 3,26 GB · SHA-256 3ffa30fd15ca…c448 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ3_XS.gguf
gguf · 3,11 GB · SHA-256 112f3f8301c9…8e3a · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ3_XXS.gguf
gguf · 2,90 GB · SHA-256 b3295e3c90a8…d93c · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ4_NL.gguf
gguf · 4,13 GB · SHA-256 416ff89aa84d…b6e3 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-IQ4_XS.gguf
gguf · 3,93 GB · SHA-256 090fa2160b61…6802 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q2_K_S.gguf
gguf · 2,64 GB · SHA-256 efd9d8dcaccd…89a1 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q2_K.gguf
gguf · 2,81 GB · SHA-256 ec4352600311…a5ac · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q3_K_L.gguf
gguf · 3,81 GB · SHA-256 ad797a79559f…089f · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q3_K_M.gguf
gguf · 3,55 GB · SHA-256 a266c4052f3c…2281 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q3_K_S.gguf
gguf · 3,25 GB · SHA-256 94a663ead877…269e · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q4_0.gguf
gguf · 4,14 GB · SHA-256 f51e0752a419…76c6 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q4_1.gguf
gguf · 4,54 GB · SHA-256 1f7fe943576c…a63c · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q4_K_M.gguf
gguf · 4,36 GB · SHA-256 4940b811856b…aa7b · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q4_K_S.gguf
gguf · 4,15 GB · SHA-256 1519fc71b3a5…c1c6 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q5_K_M.gguf
gguf · 5,07 GB · SHA-256 666619939352…4ba1 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q5_K_S.gguf
gguf · 4,95 GB · SHA-256 f1ce4c5af2e3…1e57 · Hugging Face
Baixar Kepler-Reasoning-7B.i1-Q6_K.gguf
gguf · 5,82 GB · SHA-256 81b48605b1b6…e4b4 · Hugging Face
Baixar Kepler-Reasoning-7B.imatrix.gguf
gguf · 4,35 MB · SHA-256 5d825d289127…48b2 · Hugging Face
Baixar ---
base_model: aryyanthakrr/Kepler-Reasoning-7B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- qwen
- mergekit
- slerp
- math
- code
- reasoning
- local-ai
---
## 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/aryyanthakrr/Kepler-Reasoning-7B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Kepler-Reasoning-7B-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/Kepler-Reasoning-7B-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/Kepler-Reasoning-7B-i1-GGUF/resolve/main/Kepler-Reasoning-7B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/Kepler-Reasoning-7B-i1-GGUF/resolve/main/Kepler-Reasoning-7B.i1-IQ1_S.gguf) | i1-IQ1_S | 2.0 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Kepler-Reasoning-7B-i1-GGUF/resolve/main/Kepler-Reasoning-7B.i1-IQ1_M.gguf) | i1-IQ1_M | 2.1 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Kepler-Reasoning-7B-i1-GGUF/resolve/main/Kepler-Reasoning-7B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Kepler-Reasoning-7B-i1-GGUF/resolve/main/Kepler-Reasoning-7B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/Kepler-Reasoning-7B-i1-GGUF/resolve/main/Kepler-Reasoning-7B.i1-IQ2_S.gguf) | i1-IQ2_S | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/Kepler-Reasoning...
Source context: 1281 downloads · 1 likes · Library transformers · Repo mradermacher/Kepler-Reasoning-7B-i1-GGUF
Source context: 7475 downloads · 0 likes · Library transformers · Repo mradermacher/Kepler-Reasoning-7B-i1-GGUF
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_S 3.6 beats Q3_K*
GGUF i1-Q3_K_M 3.9 IQ3_S probably better
GGUF i1-Q3_K_L 4.2 IQ3_M probably better
GGUF i1-IQ4_NL 4.5 prefer IQ4_XS
GGUF i1-Q4_0 4.5 fast, low quality
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q6_K 6.4 practically like static Q6_K
