mradermacher/gemma-2-2b-jpn-it-i1-GGUF

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base_model: google/gemma-2-2b-jpn-it extragatedbutton_content: Acknowledge license extragatedheading: Access Gemma on Hugging Face extragatedprompt: To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately. language:

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library_name: transformers license: gemma quantized_by: mradermacher tags:

• conversational

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About

weighted/imatrix quants of https://huggingface.co/google/gemma-2-2b-jpn-it

static quants are available at https://huggingface.co/mradermacher/gemma-2-2b-jpn-it-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	i1-IQ1_S	0.9	for the desperate
GGUF	i1-IQ1_M	1.0	mostly desperate
GGUF	i1-IQ2_XXS	1.0
GGUF	i1-IQ2_XS	1.1
GGUF	i1-IQ2_S	1.1
GGUF	i1-IQ2_M	1.2
GGUF	i1-IQ3_XXS	1.3	lower quality
GGUF	i1-Q2K	1.3	IQ3XXS probably better
GGUF	i1-IQ3_XS	1.4
GGUF	i1-IQ3S	1.5	beats Q3K*
GGUF	i1-Q3KS	1.5	IQ3XS probably better
GGUF	i1-IQ3_M	1.5
GGUF	i1-Q3KM	1.6	IQ3S probably better
GGUF	i1-Q3KL	1.7	IQ3M probably better
GGUF	i1-IQ4_XS	1.7
GGUF	i1-Q404_4	1.7	fast on arm, low quality
GGUF	i1-Q404_8	1.7	fast on arm+i8mm, low quality
GGUF	i1-Q408_8	1.7	fast on arm+sve, low quality
GGUF	i1-Q4_0	1.7	fast, low quality
GGUF	i1-Q4K_S	1.7	optimal size/speed/quality
GGUF	i1-Q4K_M	1.8	fast, recommended
GGUF	i1-Q5K_S	2.0
GGUF	i1-Q5K_M	2.0
GGUF	i1-Q6K	2.3	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.