Clinician-Note-2.0a-GGUF Open-Source Medical Text Generation Model - Empowering AI-assisted Clinical Record and Summary Generation

Clinician Note 2.0a GGUF

Developed by mradermacher

Clinician-Note-2.0a is a text generation model specialized in the medical field, particularly suitable for AI-assisted clinical documentation and summarization.

Large Language Model English#Clinical Note Generation #Medical Text Summarization #Quantized Efficient Inference

Downloads 644

Release Time : 5/8/2025

Model Overview

Developed based on the transformers library, this model is primarily designed for medical text generation and summarization tasks, aiming to assist clinicians in efficient documentation.

Model Features

Medical Domain Optimization

Specially optimized for medical text generation, suitable for clinical documentation and summarization tasks.

Multiple Quantized Versions

Offers various quantized versions from Q2_K to f16 to meet different hardware and performance requirements.

Efficient Inference

Recommended Q4_K_S and Q4_K_M versions provide fast inference while maintaining quality.

Model Capabilities

Medical Text Generation

Clinical Documentation Assistance

Text Summarization

Use Cases

Medical Documentation

Clinical Note Generation

Generates structured clinical notes based on physician dictation or input key information.

Medical Record Summarization

Extracts key information from lengthy medical records to generate concise summaries.

🚀 Clinician-Note-2.0a Quantized Model

This project provides static quantizations of the Clinician-Note-2.0a model, offering various quantized versions for different usage scenarios.

🚀 Quick Start

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.

✨ Features

Multiple Quantization Options: Offers a variety of quantized versions sorted by size, providing choices for different performance and quality requirements.
Medical Domain Focus: Suitable for text generation, summarization, and other tasks in the medical field.

📦 Information

Property	Details
Base Model	ClinicianFOCUS/Clinician-Note-2.0a
Datasets	ClinicianFOCUS/ACI-Bench-Refined
Language	English
Library Name	transformers
License	agpl-3.0
Quantized By	mradermacher
Tags	text-generation, summarization, medical, ai-scribe, qwen, clinical-notes

📚 Documentation

About

Static quants of Clinician-Note-2.0a. Weighted/imatrix quants are available at Clinician-Note-2.0a-i1-GGUF.

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	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	3.0
GGUF	Q6_K	3.4	very good quality
GGUF	Q8_0	4.4	fast, best quality
GGUF	f16	8.2	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: Artefact2's Gist

FAQ / Model Request

See Model Requests for some answers to questions you might have and/or if you want some other model quantized.

📄 License

This project is licensed under the AGPL - 3.0 license.

🙏 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.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご