4.5 KiB
base_model, extra_gated_button_content, extra_gated_heading, extra_gated_prompt, language, library_name, license, license_link, license_name, mradermacher, quantized_by, tags
| base_model | extra_gated_button_content | extra_gated_heading | extra_gated_prompt | language | library_name | license | license_link | license_name | mradermacher | quantized_by | tags | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| google/medgemma-1.5-4b-it | Acknowledge license | Access MedGemma on Hugging Face | To access MedGemma on Hugging Face, you're required to review and agree to [Health AI Developer Foundation's terms of use](https://developers.google.com/health-ai-developer-foundations/terms). To do this, please ensure you're logged in to Hugging Face and click below. Requests are processed immediately. |
|
transformers | other | https://developers.google.com/health-ai-developer-foundations/terms | health-ai-developer-foundations |
|
mradermacher |
|
About
static quants of https://huggingface.co/google/medgemma-1.5-4b-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-1.5-4b-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 | 1.8 | |
| GGUF | Q3_K_S | 2.0 | |
| GGUF | Q3_K_M | 2.2 | lower quality |
| GGUF | Q3_K_L | 2.3 | |
| GGUF | IQ4_XS | 2.4 | |
| GGUF | Q4_K_S | 2.5 | fast, recommended |
| GGUF | Q4_K_M | 2.6 | fast, recommended |
| GGUF | Q5_K_S | 2.9 | |
| GGUF | Q5_K_M | 2.9 | |
| GGUF | Q6_K | 3.3 | very good quality |
| GGUF | Q8_0 | 4.2 | fast, best quality |
| GGUF | f16 | 7.9 | 16 bpw, overkill |
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.
