What are the hardware requirements for Medgemma 4B It GGUF?

Medgemma 4B It GGUF requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Medgemma 4B It GGUF and how large is it?

Medgemma 4B It GGUF is developed by unsloth, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Medgemma 4B It GGUF?

Medgemma 4B It GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Medgemma 4B It GGUF by unsloth — VRAM 0.9GB

Name: Medgemma 4B It GGUF
Author: unsloth

Medgemma 4B It GGUF is an open-source language model by unsloth. Features: 4b LLM, VRAM: 0.9GB, License: other, Quantized, LLM Explorer Score: 0.23.

Arxiv:2009.13081 Arxiv:2102.09542 Arxiv:2106.14463 Arxiv:2303.15343 Arxiv:2404.05590 Arxiv:2405.03162 Arxiv:2411.15640 Arxiv:2412.03555 Arxiv:2501.18362 Arxiv:2501.19393 Arxiv:2507.05201 Base model:google/medgemma-4b-... Base model:quantized:google/me... Chest-x-ray Clinical-reasoning Conversational Dermatology Endpoints compatible Gemma3 Gguf Image-text-to-text Medical Ophthalmology Pathology Q2 Quantized Radiology Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/medgemma-4b-it-GGUF

Medgemma 4B It GGUF Parameters and Internals

LLM Name	Medgemma 4B It GGUF
Repository 🤗	https://huggingface.co/unsloth/medgemma-4b-it-GGUF
Base Model(s)	google/medgemma-4b-it google/medgemma-4b-it
Model Size	4b
Required VRAM	0.9 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	gemma3
Model Files	7.8 GB 2.4 GB 2.3 GB 1.7 GB 1.7 GB 2.1 GB 1.9 GB 2.4 GB 2.6 GB 2.5 GB 2.4 GB 2.8 GB 2.8 GB 3.2 GB 4.1 GB 1.2 GB 1.2 GB 1.6 GB 1.3 GB 1.7 GB 1.8 GB 2.1 GB 2.5 GB 2.8 GB 3.6 GB 5.2 GB 0.9 GB 0.9 GB 1.7 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Gemma3ForConditionalGeneration
License	other
Transformers Version	4.51.3
Torch Data Type	bfloat16

Rank the Medgemma 4B It GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Medgemma 4B It GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 4B It GGUF	0K / 0.9 GB	61072	200
Gemma 3 4B It Qat GGUF	0K / 0.9 GB	3544	32
Gemma 3 4B It Unsloth Bnb 4bit	0K / 4.6 GB	23457	26
Gemma 3 4B It Bnb 4bit	0K / 3.2 GB	13443	12
...a 3 4B It Qat Q4 0 Unquantized	0K / 8.6 GB	1016	11
Gemma 3 4B It Qat	0K / 8.6 GB	58	1
...4B It 4bit Immersive Translate	0K / 2.2 GB	1338	10
Translategemma 4B It 4bit	0K / 2.2 GB	1619	9
Medgemma 1.5 4B It Bnb 4bit	0K / 3.8 GB	448	6
Translategemma 4B It 8bit	0K / 4.1 GB	440	5

Note: green Score (e.g. "73.2") means that the model is better than unsloth/medgemma-4b-it-GGUF.