base_model: google/medgemma-27b-it
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extra_gated_heading: Access MedGemma on Hugging Face
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To access MedGemma on Hugging Face, you're required to review and agree to
[Health AI Developer Foundation's terms of
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language: en
library_name: transformers
license: other
license_link: https://developers.google.com/health-ai-developer-foundations/terms
license_name: health-ai-developer-foundations
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- medical
- x-ray
- pathology
- dermatology
- fundus
- radiology report generation
- chest-x-ray
- medical-embeddings
- image-classification
- zero-shot-image-classification
- image-feature-extraction
- image-text-to-text
About
static quants of https://huggingface.co/google/medgemma-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/medgemma-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 | Q3_K_S | 12.3 | |
| GGUF | Q3_K_M | 13.5 | lower quality |
| GGUF | Q3_K_L | 14.6 | |
| GGUF | IQ4_XS | 15.0 | |
| GGUF | Q4_K_S | 15.8 | fast, recommended |
| GGUF | Q4_K_M | 16.6 | fast, recommended |
| GGUF | Q5_K_S | 18.9 | |
| GGUF | Q5_K_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):
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.