What are the hardware requirements for MedSAM Agent Qwen3 VL 8B MedSAM2?

MedSAM Agent Qwen3 VL 8B MedSAM2 requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MedSAM Agent Qwen3 VL 8B MedSAM2 and how large is it?

MedSAM Agent Qwen3 VL 8B MedSAM2 is developed by Saint-lsy, a model with 8b 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 MedSAM Agent Qwen3 VL 8B MedSAM2?

MedSAM Agent Qwen3 VL 8B MedSAM2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MedSAM Agent Qwen3 VL 8B MedSAM2 by Saint-lsy — VRAM 17.5GB

Name: MedSAM Agent Qwen3 VL 8B MedSAM2
Author: Saint-lsy

MedSAM Agent Qwen3 VL 8B MedSAM2 is an open-source language model by Saint-lsy. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2602.03320 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-vl-8b-in... Conversational En Endpoints compatible Image-segmentation Image-text-to-text Instruct Medical Qwen3 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Saint-lsy/MedSAM-Agent-Qwen3-VL-8B-MedSAM2

MedSAM Agent Qwen3 VL 8B MedSAM2 Parameters and Internals

LLM Name	MedSAM Agent Qwen3 VL 8B MedSAM2
Repository 🤗	https://huggingface.co/Saint-lsy/MedSAM-Agent-Qwen3-VL-8B-MedSAM2
Base Model(s)	Qwen3 VL 8B Instruct Qwen/Qwen3-VL-8B-Instruct
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-08-30
Maintainer	Saint-lsy
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.7 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the MedSAM Agent Qwen3 VL 8B MedSAM2 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 MedSAM Agent Qwen3 VL 8B MedSAM2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
ArmorOCR	0K / 17.5 GB	195	9
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
Zhimu 1.0	0K / 18.6 GB	180	3
InSight Doc 8B	0K / 17.6 GB	90	3
GUI Owl 1.5 8B Instruct	0K / 17.5 GB	4882	13
ZwZ 8B	0K / 17.6 GB	2586	48
RefCaptioner	0K / 17.5 GB	61	1

Note: green Score (e.g. "73.2") means that the model is better than Saint-lsy/MedSAM-Agent-Qwen3-VL-8B-MedSAM2.