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Mellum2 12B A2.5B Base I1 GGUF

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

KindOtherBase modelJetBrains/Mellum2-12B-A2.5B-BaseVersionRevision e010890Publisher@mradermacherCgrade

Model source

Kind
Other
File size
39.1 MB–10.1 GB
Base model
JetBrains/Mellum2-12B-A2.5B-Base
Version
vRevision e010890
Updated
Oct 21, 2026
Publisher
@mradermacher
Downloads
520
Parameters
12B
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/JetBrains/Mellum2-12B-A2.5B-Base

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

static quants are available at https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-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
GGUFimatrix0.1imatrix file (for creating your own quants)
GGUFi1-IQ1_S4.0for the desperate
GGUFi1-IQ1_M4.2mostly desperate
GGUFi1-IQ2_XXS4.5
GGUFi1-IQ2_XS4.8
GGUFi1-IQ2_S4.8
GGUFi1-IQ2_M5.1
GGUFi1-Q2_K5.1IQ3_XXS probably better
GGUFi1-Q2_K_S5.1very low quality
GGUFi1-IQ3_XXS5.5lower quality
GGUFi1-IQ3_XS5.6
GGUFi1-Q3_K_S5.9IQ3_XS probably better
GGUFi1-IQ3_S5.9beats Q3_K*
GGUFi1-IQ3_M6.0
GGUFi1-Q3_K_M6.4IQ3_S probably better
GGUFi1-Q3_K_L6.7IQ3_M probably better
GGUFi1-IQ4_XS6.8
GGUFi1-IQ4_NL7.0prefer IQ4_XS
GGUFi1-Q4_07.0fast, low quality
GGUFi1-Q4_K_S7.5optimal size/speed/quality
GGUFi1-Q4_17.8
GGUFi1-Q4_K_M8.2fast, recommended
GGUFi1-Q5_K_S8.7
GGUFi1-Q5_K_M9.3
GGUFi1-Q6_K11.0practically like static Q6_K

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. 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.

Sources

1 source
Hugging FacePrimaryVersion e010890a6c795b2448f8176a7f8d13fef747b001
huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/tree/e010890a6c795b2448f8176a7f8d13fef747b001

Verified Oct 21

Download files

Model artifacts

25 artifacts

Mellum2-12B-A2.5B-Base.i1-IQ1_M.gguf

gguf · 3.82 GB · SHA-256 bb5cece938ec…0546 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ1_S.gguf

gguf · 3.65 GB · SHA-256 277d7117b5af…46ca · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ2_M.gguf

gguf · 4.61 GB · SHA-256 4dc4c8d68ad9…ba3b · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ2_S.gguf

gguf · 4.39 GB · SHA-256 b97b56a33255…5a4e · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ2_XS.gguf

gguf · 4.33 GB · SHA-256 d6762c96e21b…7f9f · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ2_XXS.gguf

gguf · 4.10 GB · SHA-256 a57f09c97eed…1db1 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ3_M.gguf

gguf · 5.50 GB · SHA-256 c6737f754931…dbc3 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ3_S.gguf

gguf · 5.42 GB · SHA-256 e26bd5bd887d…6456 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ3_XS.gguf

gguf · 5.17 GB · SHA-256 c3397141d41c…c2d4 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ3_XXS.gguf

gguf · 5.04 GB · SHA-256 bda25a4ab6d1…3dc5 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ4_NL.gguf

gguf · 6.44 GB · SHA-256 d4f956ab98d1…c934 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-IQ4_XS.gguf

gguf · 6.20 GB · SHA-256 7d34c9ceec21…a845 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q2_K_S.gguf

gguf · 4.70 GB · SHA-256 a8db58929529…add4 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q2_K.gguf

gguf · 4.67 GB · SHA-256 b618478dabea…c082 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q3_K_L.gguf

gguf · 6.14 GB · SHA-256 30e45adb192c…6372 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q3_K_M.gguf

gguf · 5.90 GB · SHA-256 45516cf0b459…1b3a · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q3_K_S.gguf

gguf · 5.42 GB · SHA-256 140bf03dffa2…44f4 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q4_0.gguf

gguf · 6.46 GB · SHA-256 783839ba0c10…723e · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q4_1.gguf

gguf · 7.13 GB · SHA-256 b0474745e075…a299 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q4_K_M.gguf

gguf · 7.52 GB · SHA-256 96bad3fdd663…5fab · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q4_K_S.gguf

gguf · 6.89 GB · SHA-256 fb2086b0fd28…237b · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q5_K_M.gguf

gguf · 8.58 GB · SHA-256 09de5299f345…2370 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q5_K_S.gguf

gguf · 8.04 GB · SHA-256 d417cbbbf7ba…2549 · Hugging Face

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Mellum2-12B-A2.5B-Base.i1-Q6_K.gguf

gguf · 10.1 GB · SHA-256 a1ff72ae7e42…c2a3 · Hugging Face

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Mellum2-12B-A2.5B-Base.imatrix.gguf

gguf · 39.1 MB · SHA-256 b9acaae2f794…6b45 · Hugging Face

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Source excerpts

3 excerpts

--- base_model: JetBrains/Mellum2-12B-A2.5B-Base language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## 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/JetBrains/Mellum2-12B-A2.5B-Base <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Mellum2-12B-A2.5B-Base-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-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/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main/Mellum2-12B-A2.5B-Base.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main/Mellum2-12B-A2.5B-Base.i1-IQ1_S.gguf) | i1-IQ1_S | 4.0 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main/Mellum2-12B-A2.5B-Base.i1-IQ1_M.gguf) | i1-IQ1_M | 4.2 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main/Mellum2-12B-A2.5B-Base.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main/Mellum2-12B-A2.5B-Base.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.8 | | | [GGUF](https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main/Mellum2-12B-A2.5B-Base.i1-IQ2_S.gguf) | i1-IQ2_S | 4.8 | | | [GGUF](https://huggingface.co/mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF/resolve/main...

Source context: 520 downloads · 0 likes · Library transformers · Repo mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF

Source context: 896 downloads · 0 likes · Library transformers · Repo mradermacher/Mellum2-12B-A2.5B-Base-i1-GGUF