What are the hardware requirements for Medgemma 27B It Bf16?

Medgemma 27B It Bf16 requires approximately 57.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Medgemma 27B It Bf16 and how large is it?

Medgemma 27B It Bf16 is developed by mlx-community, a model with 27b 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 27B It Bf16?

Medgemma 27B It Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Medgemma 27B It Bf16 by mlx-community — VRAM 57.7GB

Name: Medgemma 27B It Bf16
Author: mlx-community

Medgemma 27B It Bf16 is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 57.7GB, License: other.

Base model:finetune:google/gem... Base model:google/gemma-3-27b-... Chest-x-ray Conversational Dermatology En Endpoints compatible Fundus Gemma3 Image-classification Image-feature-extraction Image-text-to-text Medical Medical-embeddings Mlx Pathology Radiology report generation Region:us Safetensors Sharded Tensorflow X-ray Zero-shot-image-classification

Model Card on HF 🤗: https://huggingface.co/mlx-community/medgemma-27b-it-bf16

Medgemma 27B It Bf16 Parameters and Internals

LLM Name	Medgemma 27B It Bf16
Repository 🤗	https://huggingface.co/mlx-community/medgemma-27b-it-bf16
Base Model(s)	google/gemma-3-27b-pt google/gemma-3-27b-pt
Model Size	27b
Required VRAM	57.7 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma3
Model Files	5.3 GB: 1-of-11 5.3 GB: 2-of-11 5.2 GB: 3-of-11 5.3 GB: 4-of-11 5.2 GB: 5-of-11 5.2 GB: 6-of-11 5.3 GB: 7-of-11 5.2 GB: 8-of-11 5.2 GB: 9-of-11 5.3 GB: 10-of-11 5.2 GB: 11-of-11
Supported Languages	en
Model Architecture	Gemma3ForConditionalGeneration
License	other
Transformers Version	4.53.1
Padding Token	<pad>

Rank the Medgemma 27B It Bf16 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 27B It Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Fallen Gemma3 27B V1	128K / 55.3 GB	90	49
Big Tiger Gemma 27B V3	0K / 55.3 GB	172	57
Gemma 3 R1 27B V1	0K / 55.3 GB	2	26
CardProjector 27B V4	0K / 55.3 GB	109	27
CardProjector 27B V4	0K / 55.3 GB	27	35
MamayLM Gemma 3 27B IT V2.0	0K / 55.2 GB	1875	8
Gemma 3 27B It Qat Bf16	0K / 57.7 GB	114	6
Gemma 3 27B It Bf16	0K / 57.7 GB	63	5
Gemma 3 27B Pt Bf16	0K / 57.7 GB	25	2
Translategemma 27B It 8bit	0K / 28.8 GB	467	5

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/medgemma-27b-it-bf16.