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BastiAI 2 Lite GGUF

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

Fontehuggingface.co/mradermacher/BastiAI-2-Lite-GGUF/tree/b1482652edb5e0d1b359ab51a1cc9552ef477036
TipoOtherModelo baseCartik/BastiAI-2-LiteVersãoRevision b148265Publicador@mradermacherCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
554 MB–2,31 GB
Modelo base
Cartik/BastiAI-2-Lite
Versão
vRevision b148265
Atualizado
21 de out. de 2026
Publicador
@mradermacher
Downloads
60
Fonte
Hugging Face

Descrição da fonte

About

static quants of https://huggingface.co/Cartik/BastiAI-2-Lite

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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)

LinkTypeSize/GBNotes
GGUFQ2_K0.7
GGUFQ3_K_S0.7
GGUFQ3_K_M0.8lower quality
GGUFQ3_K_L0.8
GGUFIQ4_XS0.8
GGUFQ4_K_S0.9fast, recommended
GGUFQ4_K_M0.9fast, recommended
GGUFQ5_K_S1.0
GGUFQ5_K_M1.0
GGUFQ6_K1.1very good quality
GGUFQ8_01.4fast, best quality
GGUFf162.616 bpw, overkill

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.

Fontes

1 fonte
Hugging FacePrimárioVersão b1482652edb5e0d1b359ab51a1cc9552ef477036
huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/tree/b1482652edb5e0d1b359ab51a1cc9552ef477036

Verificado 21 de out.

Artefatos de modelo

12 artefatos

BastiAI-2-Lite.f16.gguf

gguf · 2,31 GB · SHA-256 e395167d83ec…bc5b · Hugging Face

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BastiAI-2-Lite.IQ4_XS.gguf

gguf · 714 MB · SHA-256 6e5b12a0a4c5…0b22 · Hugging Face

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BastiAI-2-Lite.Q2_K.gguf

gguf · 554 MB · SHA-256 494fcb344372…5880 · Hugging Face

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BastiAI-2-Lite.Q3_K_L.gguf

gguf · 699 MB · SHA-256 4650637699a1…1c06 · Hugging Face

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BastiAI-2-Lite.Q3_K_M.gguf

gguf · 659 MB · SHA-256 48e6e8f90b28…612a · Hugging Face

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BastiAI-2-Lite.Q3_K_S.gguf

gguf · 612 MB · SHA-256 2bacdb39a5cb…2e46 · Hugging Face

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BastiAI-2-Lite.Q4_K_M.gguf

gguf · 770 MB · SHA-256 5bd3a68d865b…6107 · Hugging Face

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BastiAI-2-Lite.Q4_K_S.gguf

gguf · 740 MB · SHA-256 c17ef9ad681c…f4b0 · Hugging Face

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BastiAI-2-Lite.Q5_K_M.gguf

gguf · 869 MB · SHA-256 a76053edbdbb…a00c · Hugging Face

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BastiAI-2-Lite.Q5_K_S.gguf

gguf · 851 MB · SHA-256 540384b5617c…fe31 · Hugging Face

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BastiAI-2-Lite.Q6_K.gguf

gguf · 974 MB · SHA-256 74998e178a2a…c520 · Hugging Face

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BastiAI-2-Lite.Q8_0.gguf

gguf · 1,23 GB · SHA-256 427536f8e4bb…afd7 · Hugging Face

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Trechos de fonte

3 trechos
Readme11 de jul.huggingface.co/mradermacher/BastiAI-2-Lite-GGUF

--- base_model: Cartik/BastiAI-2-Lite language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/Cartik/BastiAI-2-Lite <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#BastiAI-2-Lite-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q2_K.gguf) | Q2_K | 0.7 | | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q3_K_S.gguf) | Q3_K_S | 0.7 | | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q3_K_L.gguf) | Q3_K_L | 0.8 | | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.IQ4_XS.gguf) | IQ4_XS | 0.8 | | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/BastiAI-2-Lite-GGUF/resolve/main/BastiAI-2-Lite.Q5_K_S.gguf) | Q5_K_S | 1.0 | | | [GGUF](https://huggingface.co/mrad...

Note21 de out.huggingface.co/mradermacher/BastiAI-2-Lite-GGUF

Source context: 60 downloads · 0 likes · Library transformers · Repo mradermacher/BastiAI-2-Lite-GGUF

Note17 de jul.huggingface.co/mradermacher/BastiAI-2-Lite-GGUF

Source context: 16 downloads · 0 likes · Library transformers · Repo mradermacher/BastiAI-2-Lite-GGUF