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Friday 35B GGUF

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

Sourcehuggingface.co/mradermacher/Friday-35B-GGUF/tree/72ec38d078f392f01be883bc869f8db3466033a7
KindOtherBase modeldangell7/Friday-35BVersionRevision 72ec38dPublisher@mradermacherCgrade

Model source

Kind
Other
File size
12.1–34.4 GB
Base model
dangell7/Friday-35B
Version
vRevision 72ec38d
Updated
Oct 23, 2026
Publisher
@mradermacher
Downloads
161
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/dangell7/Friday-35B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Friday-35B-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_K13.0
GGUFQ3_K_S15.3
GGUFQ3_K_M16.9lower quality
GGUFQ3_K_L18.2
GGUFIQ4_XS19.0
GGUFQ4_K_S20.0fast, recommended
GGUFQ4_K_M21.3fast, recommended
GGUFQ5_K_S24.1
GGUFQ5_K_M24.8
GGUFQ6_K28.6very good quality
GGUFQ8_037.0fast, best quality

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 72ec38d078f392f01be883bc869f8db3466033a7
huggingface.co/mradermacher/Friday-35B-GGUF/tree/72ec38d078f392f01be883bc869f8db3466033a7

Verified Oct 23

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Model artifacts

11 artifacts

Friday-35B.IQ4_XS.gguf

gguf · 17.6 GB · SHA-256 933211db1732…1acc · Hugging Face

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Friday-35B.Q2_K.gguf

gguf · 12.1 GB · SHA-256 8479e0a62349…c670 · Hugging Face

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Friday-35B.Q3_K_L.gguf

gguf · 16.9 GB · SHA-256 ebfccbe18437…4968 · Hugging Face

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Friday-35B.Q3_K_M.gguf

gguf · 15.6 GB · SHA-256 743a27664cd2…62b3 · Hugging Face

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Friday-35B.Q3_K_S.gguf

gguf · 14.1 GB · SHA-256 9495b554a07e…a32a · Hugging Face

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Friday-35B.Q4_K_M.gguf

gguf · 19.7 GB · SHA-256 003ccbdd302e…c76f · Hugging Face

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Friday-35B.Q4_K_S.gguf

gguf · 18.5 GB · SHA-256 e5bbcae4190b…f3d4 · Hugging Face

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Friday-35B.Q5_K_M.gguf

gguf · 23.0 GB · SHA-256 23884cd759cf…58e5 · Hugging Face

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Friday-35B.Q5_K_S.gguf

gguf · 22.3 GB · SHA-256 ab4970e3d359…f03d · Hugging Face

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Friday-35B.Q6_K.gguf

gguf · 26.6 GB · SHA-256 a685f5985936…7335 · Hugging Face

Download file

Friday-35B.Q8_0.gguf

gguf · 34.4 GB · SHA-256 e3759764db45…77c1 · Hugging Face

Download file

Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/mradermacher/Friday-35B-GGUF

--- base_model: dangell7/Friday-35B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - reasoning - software-engineering - moe - code-review - architecture --- ## 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/dangell7/Friday-35B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Friday-35B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Friday-35B-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/Friday-35B-GGUF/resolve/main/Friday-35B.Q2_K.gguf) | Q2_K | 13.0 | | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q3_K_S.gguf) | Q3_K_S | 15.3 | | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q3_K_M.gguf) | Q3_K_M | 16.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q3_K_L.gguf) | Q3_K_L | 18.2 | | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.IQ4_XS.gguf) | IQ4_XS | 19.0 | | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q4_K_S.gguf) | Q4_K_S | 20.0 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q4_K_M.gguf) | Q4_K_M | 21.3 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q5_K_S.gguf) | Q5_K_S | 24.1 | | | [GGUF](https://huggingface.co/mradermacher/Friday-35B-GGUF/resolve/main/Friday-35B.Q5_K_M.gguf) | Q5_K_M | 24.8 | | | [GGUF](https://hu...

NoteOct 23huggingface.co/mradermacher/Friday-35B-GGUF

Source context: 161 downloads · 0 likes · Library transformers · Repo mradermacher/Friday-35B-GGUF

NoteAug 6huggingface.co/mradermacher/Friday-35B-GGUF

Source context: 32 downloads · 0 likes · Library transformers · Repo mradermacher/Friday-35B-GGUF