đ Medra4b Quantized Model
This project provides static quantizations of the Medra4b model, offering various quantized versions for different use - cases.
đ Quick Start
If you are new to using this quantized model, the following sections will guide you through its basic information, usage, and available quantized versions.
⨠Features
- Multi - language Support: Supports both English and Romanian.
- Multiple Use - cases: Suitable for text generation, medical AI, summarization, dermatology, and more.
- Fine - tuned: Based on the Gemma - 3 architecture and fine - tuned for better performance.
đĻ Installation
No specific installation steps are provided in the original document.
đ Documentation
đ Model Information
| Property |
Details |
| Base Model |
drwlf/Medra4b |
| Datasets |
nicoboss/medra - medical |
| Language |
English, Romanian |
| Library Name |
transformers |
| License |
apache - 2.0 |
| Quantized By |
mradermacher |
| Tags |
text - generation, medical - ai, summarization, dermatology, gemma - 3, fine - tuned |
đ About
These are static quants of https://huggingface.co/drwlf/Medra4b.
Weighted/imatrix quants are available at [https://huggingface.co/mradermacher/Medra4b - i1 - GGUF](https://huggingface.co/mradermacher/Medra4b - i1 - GGUF).
đģ Usage Examples
If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM - 70B - German - V0.1 - GGUF) for more details, including on how to concatenate multi - part files.
đ 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](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q2_K.gguf) |
Q2_K |
1.8 |
|
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q3_K_S.gguf) |
Q3_K_S |
2.0 |
|
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q3_K_M.gguf) |
Q3_K_M |
2.2 |
lower quality |
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q3_K_L.gguf) |
Q3_K_L |
2.3 |
|
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.IQ4_XS.gguf) |
IQ4_XS |
2.4 |
|
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q4_K_S.gguf) |
Q4_K_S |
2.5 |
fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q4_K_M.gguf) |
Q4_K_M |
2.6 |
fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q5_K_S.gguf) |
Q5_K_S |
2.9 |
|
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q5_K_M.gguf) |
Q5_K_M |
2.9 |
|
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q6_K.gguf) |
Q6_K |
3.3 |
very good quality |
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.Q8_0.gguf) |
Q8_0 |
4.2 |
fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Medra4b - GGUF/resolve/main/Medra4b.f16.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
â 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.
đ 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.
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