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Bozdogan 7B GGUF

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

Sourcehuggingface.co/mradermacher/Bozdogan-7B-GGUF/tree/82b62825cfaae98a1c2fc95805e3f63341883f18
KindOtherBase modelUmutArchery/Bozdogan-7BVersionRevision 82b6282Publisher@mradermacherCgrade

Model source

Kind
Other
File size
2.81–14.2 GB
Base model
UmutArchery/Bozdogan-7B
Version
vRevision 82b6282
Updated
Oct 4, 2026
Publisher
@mradermacher
Downloads
226
Parameters
7B
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/UmutArchery/Bozdogan-7B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Bozdogan-7B-i1-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)

LinkTypeSize/GBNotes
GGUFQ2_K3.1
GGUFQ3_K_S3.6
GGUFQ3_K_M3.9lower quality
GGUFQ3_K_L4.2
GGUFIQ4_XS4.4
GGUFQ4_K_S4.6fast, recommended
GGUFQ4_K_M4.8fast, recommended
GGUFQ5_K_S5.4
GGUFQ5_K_M5.5
GGUFQ6_K6.4very good quality
GGUFQ8_08.2fast, best quality
GGUFf1615.316 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.

Sources

1 source
Hugging FacePrimaryVersion 82b62825cfaae98a1c2fc95805e3f63341883f18
huggingface.co/mradermacher/Bozdogan-7B-GGUF/tree/82b62825cfaae98a1c2fc95805e3f63341883f18

Verified Oct 4

Model artifacts

12 artifacts

Bozdogan-7B.f16.gguf

gguf · 14.2 GB · SHA-256 83b7a9f3f236…c64e · Hugging Face

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Bozdogan-7B.IQ4_XS.gguf

gguf · 3.96 GB · SHA-256 8ff54df10055…7b27 · Hugging Face

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Bozdogan-7B.Q2_K.gguf

gguf · 2.81 GB · SHA-256 76379df82744…b167 · Hugging Face

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Bozdogan-7B.Q3_K_L.gguf

gguf · 3.81 GB · SHA-256 e786e910a40a…7a47 · Hugging Face

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Bozdogan-7B.Q3_K_M.gguf

gguf · 3.55 GB · SHA-256 b095bd3eeaf2…6cf9 · Hugging Face

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Bozdogan-7B.Q3_K_S.gguf

gguf · 3.25 GB · SHA-256 8ce4d350bf35…711d · Hugging Face

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Bozdogan-7B.Q4_K_M.gguf

gguf · 4.36 GB · SHA-256 b010f35d32f6…405b · Hugging Face

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Bozdogan-7B.Q4_K_S.gguf

gguf · 4.15 GB · SHA-256 dc2f9b5e0d57…d44d · Hugging Face

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Bozdogan-7B.Q5_K_M.gguf

gguf · 5.07 GB · SHA-256 4f9779b3f1f9…3140 · Hugging Face

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Bozdogan-7B.Q5_K_S.gguf

gguf · 4.95 GB · SHA-256 be3400621f3a…4fac · Hugging Face

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Bozdogan-7B.Q6_K.gguf

gguf · 5.82 GB · SHA-256 8beee1b1c64a…3c3a · Hugging Face

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Bozdogan-7B.Q8_0.gguf

gguf · 7.54 GB · SHA-256 bb9f0705e71c…9bca · Hugging Face

Download

Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/mradermacher/Bozdogan-7B-GGUF

--- base_model: UmutArchery/Bozdogan-7B language: - tr library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - turkish - türkçe - chat - bozdogan --- ## 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/UmutArchery/Bozdogan-7B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Bozdogan-7B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Bozdogan-7B-i1-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/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 | | | [GGUF](https://huggingface.co/mradermacher/Bozdogan-7B-GGUF/resolve/main/Bozdogan-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 | | | [GGUF](https://huggingface.co/m...

NoteOct 4huggingface.co/mradermacher/Bozdogan-7B-GGUF

Source context: 226 downloads · 1 likes · Library transformers · Repo mradermacher/Bozdogan-7B-GGUF

NoteJul 18huggingface.co/mradermacher/Bozdogan-7B-GGUF

Source context: 556 downloads · 0 likes · Library transformers · Repo mradermacher/Bozdogan-7B-GGUF