Medra4b-i1-GGUF Open-Source Medical Text Generation Model - Free Support for English and Romanian Bilingual Medical Applications

Medra4b I1 GGUF

Developed by mradermacher

Medra4b is a multilingual (English and Romanian) text generation model fine-tuned on medical datasets, specializing in medical domain applications.

Large Language Model

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Medical Text Generation #Multilingual Medical Summarization #Dermatology AI

Downloads 289

Release Time : 5/25/2025

Model Overview

This is a text generation model fine-tuned on the medical dataset nicoboss/medra-medical, supporting English and Romanian, particularly suitable for medical text generation and summarization tasks.

Model Features

Medical Domain Optimization

Fine-tuned for medical data, especially suitable for medical-related text generation tasks.

Multilingual Support

Supports text generation in both English and Romanian languages.

Multiple Quantized Versions

Offers various quantization options from extreme compression to high-quality inference, catering to different hardware needs.

Model Capabilities

Medical Text Generation

Medical Summarization

Dermatology-related Text Processing

Multilingual Text Generation

Use Cases

Healthcare

Medical Report Summarization

Automatically generate concise summaries from lengthy medical reports.

Dermatology Consultation

Generate dermatology-related consultation advice and explanations.

Multilingual Applications

Romanian Medical Consultation

Provide medical consultation services for Romanian-speaking users.

🚀 Medra4b Quantized Model

This project offers quantized versions of the Medra4b model, suitable for various text - generation and medical - AI tasks.

📚 Documentation

Model Information

Property	Details
Base Model	drwlf/Medra4b
Datasets	nicoboss/medra - medical
Languages	en, ro
Library Name	transformers
License	apache - 2.0
Quantized By	mradermacher
Tags	text - generation, medical - ai, summarization, dermatology, gemma - 3, fine - tuned

About

Weighted/imatrix quants of https://huggingface.co/drwlf/Medra4b. Static quants are available at https://huggingface.co/mradermacher/Medra4b - 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	1.2	for the desperate
GGUF	i1 - IQ1_M	1.3	mostly desperate
GGUF	i1 - IQ2_XXS	1.4
GGUF	i1 - IQ2_XS	1.5
GGUF	i1 - IQ2_S	1.5
GGUF	i1 - IQ2_M	1.6
GGUF	i1 - Q2_K_S	1.7	very low quality
GGUF	i1 - IQ3_XXS	1.8	lower quality
GGUF	i1 - Q2_K	1.8	IQ3_XXS probably better
GGUF	i1 - IQ3_XS	2.0
GGUF	i1 - IQ3_S	2.0	beats Q3_K*
GGUF	i1 - Q3_K_S	2.0	IQ3_XS probably better
GGUF	i1 - IQ3_M	2.1
GGUF	i1 - Q3_K_M	2.2	IQ3_S probably better
GGUF	i1 - Q3_K_L	2.3	IQ3_M probably better
GGUF	i1 - IQ4_XS	2.4
GGUF	i1 - IQ4_NL	2.5	prefer IQ4_XS
GGUF	i1 - Q4_0	2.5	fast, low quality
GGUF	i1 - Q4_K_S	2.5	optimal size/speed/quality
GGUF	i1 - Q4_K_M	2.6	fast, recommended
GGUF	i1 - Q4_1	2.7
GGUF	i1 - Q5_K_S	2.9
GGUF	i1 - Q5_K_M	2.9
GGUF	i1 - Q6_K	3.3	practically like static Q6_K

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.

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