mradermacher/translategemma-27b-it-GGUF

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base_model: google/translategemma-27b-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 mradermacher: readme_rev: 1 quantized_by: mradermacher

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About

static quants of https://huggingface.co/google/translategemma-27b-it

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/translategemma-27b-it-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)

Link	Type	Size/GB	Notes
GGUF	mmproj-Q8_0	0.7	multi-modal supplement
GGUF	mmproj-f16	1.0	multi-modal supplement
GGUF	Q2_K	10.6
GGUF	Q3K_S	12.3
GGUF	Q3K_M	13.5	lower quality
GGUF	Q3K_L	14.6
GGUF	IQ4_XS	15.0
GGUF	Q4K_S	15.8	fast, recommended
GGUF	Q4K_M	16.6	fast, recommended
GGUF	Q5K_S	18.9
GGUF	Q5K_M	19.4
GGUF	Q6_K	22.3	very good quality
GGUF	Q8_0	28.8	fast, 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.