Medra-i1-GGUF Open-Source Medical Language Model - Free Deployment for Medical Q&A and Summary Generation

Medra I1 GGUF

Developed by mradermacher

Medra is a quantized language model fine-tuned on medical datasets, specializing in medical Q&A and summarization tasks.

Large Language Model Supports Multiple LanguagesOpen Source License:Apache-2.0 #Medical Q&A #Dermatology AI #Multilingual Medical Model

Downloads 369

Release Time : 5/5/2025

Model Overview

Medra is a language model optimized for the medical field, supporting English and Romanian, capable of performing tasks such as medical Q&A and summarization. The model is quantized, offering multiple quantized versions to suit different hardware requirements.

Model Features

Medical Domain Optimization

Fine-tuned on medical datasets such as PubMedQA, Dermatology Q&A Dataset, and MedQuAD, delivering excellent performance in the medical field.

Multiple Quantized Versions

Offers various quantized versions from IQ1_S to Q6_K to accommodate different hardware environments and performance needs.

Multilingual Support

Supports English and Romanian, suitable for multilingual medical applications.

Efficient Inference

After quantization, the model size is significantly reduced, enabling efficient operation in resource-limited environments.

Model Capabilities

Medical Q&A

Text summarization

Dermatology consultation

Multilingual medical text processing

Use Cases

Medical Consultation

Patient Q&A System

Used to answer patient inquiries about medical issues

Dermatology Diagnosis Assistance

Provides dermatological diagnostic suggestions based on symptom descriptions

Medical Research

Medical Literature Summarization

Automatically generates concise summaries of medical literature

base_model: drwlf/Medra datasets:

qiaojin/PubMedQA
Mreeb/Dermatology-Question-Answer-Dataset-For-Fine-Tuning
lavita/MedQuAD language:
en
ro library_name: transformers license: apache-2.0 quantized_by: mradermacher tags:
text-generation
medical-ai
question-answering
summarization
dermatology
gemma-3
qlora
unsloth
fine-tuned

About

weighted/imatrix quants of https://huggingface.co/drwlf/Medra

static quants are available at https://huggingface.co/mradermacher/Medra-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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