mradermacher/EuroLLM-9B-Instruct-2512-i1-GGUF

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base_model: utter-project/EuroLLM-9B-Instruct-2512 language:

• en
• de
• es
• fr
• it
• pt
• pl
• nl
• tr
• sv
• cs
• el
• hu
• ro
• fi
• uk
• sl
• sk
• da
• lt
• lv
• et
• bg
• no
• ca
• hr
• ga
• mt
• gl
• zh
• ru
• ko
• ja
• ar
• hi

library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher

---

About

weighted/imatrix quants of https://huggingface.co/utter-project/EuroLLM-9B-Instruct-2512

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

static quants are available at https://huggingface.co/mradermacher/EuroLLM-9B-Instruct-2512-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)

Link	Type	Size/GB	Notes
GGUF	imatrix	0.1	imatrix file (for creating your own quants)
GGUF	i1-IQ1_S	2.4	for the desperate
GGUF	i1-IQ1_M	2.5	mostly desperate
GGUF	i1-IQ2_XXS	2.8
GGUF	i1-IQ2_XS	3.0
GGUF	i1-IQ2_S	3.2
GGUF	i1-IQ2_M	3.4
GGUF	i1-Q2K_S	3.5	very low quality
GGUF	i1-Q2K	3.7	IQ3XXS probably better
GGUF	i1-IQ3_XXS	3.8	lower quality
GGUF	i1-IQ3_XS	4.1
GGUF	i1-Q3KS	4.2	IQ3XS probably better
GGUF	i1-IQ3S	4.3	beats Q3K*
GGUF	i1-IQ3_M	4.4
GGUF	i1-Q3KM	4.7	IQ3S probably better
GGUF	i1-Q3KL	5.0	IQ3M probably better
GGUF	i1-IQ4_XS	5.1
GGUF	i1-Q4_0	5.4	fast, low quality
GGUF	i1-IQ4NL	5.4	prefer IQ4XS
GGUF	i1-Q4K_S	5.4	optimal size/speed/quality
GGUF	i1-Q4K_M	5.7	fast, recommended
GGUF	i1-Q4_1	5.9
GGUF	i1-Q5K_S	6.5
GGUF	i1-Q5K_M	6.6
GGUF	i1-Q6K	7.6	practically like static Q6K

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.