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Aurora Code 1 GGUF

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

Sourcehuggingface.co/mradermacher/Aurora-Code-1-GGUF/tree/3a24ad0487cc4489492f8f8bc550eaf16ea0467e
KindOtherBase modelPerciqa/Aurora-Code-1VersionRevision 3a24ad0Bgrade

Model source

Kind
Other
File size
10.5–30.3 GB
Base model
Perciqa/Aurora-Code-1
Version
vRevision 3a24ad0
Updated
Oct 27, 2026
Downloads
356
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/Perciqa/Aurora-Code-1

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aurora-Code-1-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_K11.4
GGUFQ3_K_S13.4
GGUFQ3_K_M14.8lower quality
GGUFQ3_K_L16.0
GGUFIQ4_XS16.7
GGUFQ4_K_S17.6fast, recommended
GGUFQ4_K_M18.7fast, recommended
GGUFQ5_K_S21.2
GGUFQ5_K_M21.8
GGUFQ6_K25.2very good quality
GGUFQ8_032.6fast, 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 3a24ad0487cc4489492f8f8bc550eaf16ea0467e
huggingface.co/mradermacher/Aurora-Code-1-GGUF/tree/3a24ad0487cc4489492f8f8bc550eaf16ea0467e

Verified Oct 27

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Model artifacts

11 artifacts

Aurora-Code-1.IQ4_XS.gguf

gguf · 15.4 GB · SHA-256 cacfb38f2b82…2728 · Hugging Face

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Aurora-Code-1.Q2_K.gguf

gguf · 10.5 GB · SHA-256 b6bb61ea4fc7…f365 · Hugging Face

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Aurora-Code-1.Q3_K_L.gguf

gguf · 14.8 GB · SHA-256 5cd33cf73c06…8546 · Hugging Face

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Aurora-Code-1.Q3_K_M.gguf

gguf · 13.7 GB · SHA-256 cb46c8d2c67f…d392 · Hugging Face

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Aurora-Code-1.Q3_K_S.gguf

gguf · 12.4 GB · SHA-256 6adbc96f86f6…177e · Hugging Face

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Aurora-Code-1.Q4_K_M.gguf

gguf · 17.3 GB · SHA-256 81e9cb2d062c…e52c · Hugging Face

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Aurora-Code-1.Q4_K_S.gguf

gguf · 16.3 GB · SHA-256 d00bde479018…a807 · Hugging Face

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Aurora-Code-1.Q5_K_M.gguf

gguf · 20.2 GB · SHA-256 676d77a0b564…9734 · Hugging Face

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Aurora-Code-1.Q5_K_S.gguf

gguf · 19.6 GB · SHA-256 495e934aa45c…3312 · Hugging Face

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Aurora-Code-1.Q6_K.gguf

gguf · 23.4 GB · SHA-256 a6911ed8a2e0…2f40 · Hugging Face

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Aurora-Code-1.Q8_0.gguf

gguf · 30.3 GB · SHA-256 99d272aced94…f800 · Hugging Face

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Source excerpts

3 excerpts
ReadmeAug 8huggingface.co/mradermacher/Aurora-Code-1-GGUF

--- base_model: Perciqa/Aurora-Code-1 datasets: - perciqa/aurora-code-sft-v1 language: - en - fr - multilingual library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - code - coding - agentic - moe - code-generation - code-review - debugging - instruction-tuned - perciqa - aurora - canadian-ai - enterprise - lora - sft --- ## 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/Perciqa/Aurora-Code-1 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Aurora-Code-1-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aurora-Code-1-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/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.Q2_K.gguf) | Q2_K | 11.4 | | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.Q3_K_S.gguf) | Q3_K_S | 13.4 | | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.Q3_K_L.gguf) | Q3_K_L | 16.0 | | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.IQ4_XS.gguf) | IQ4_XS | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-GGUF/resolve/main/Aurora-Code-1.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Aurora-Code-1-...

NoteOct 27huggingface.co/mradermacher/Aurora-Code-1-GGUF

Source context: 356 downloads · 0 likes · Library transformers · Repo mradermacher/Aurora-Code-1-GGUF

NoteAug 8huggingface.co/mradermacher/Aurora-Code-1-GGUF

Source context: 1092 downloads · 0 likes · Library transformers · Repo mradermacher/Aurora-Code-1-GGUF