What are the hardware requirements for MedSLM?

MedSLM requires approximately 1.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MedSLM and how large is it?

MedSLM is developed by Saminx22, a model with 329.9m 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 MedSLM?

MedSLM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MedSLM by Saminx22 — VRAM 1.3GB

Name: MedSLM
Author: Saminx22

MedSLM is an open-source language model by Saminx22. Features: 329.9m LLM, VRAM: 1.3GB, License: apache-2.0, LLM Explorer Score: 0.23.

Dataset:saminx22/medical data ... En Gqa Language-model Med-slm Medical Pytorch Region:us Rmsnorm Rope Safetensors Slm Swiglu

Model Card on HF 🤗: https://huggingface.co/Saminx22/MedSLM

MedSLM Parameters and Internals

LLM Name	MedSLM
Repository 🤗	https://huggingface.co/Saminx22/MedSLM
Model Size	329.9m
Required VRAM	1.3 GB
Updated	2026-07-30
Maintainer	Saminx22
Model Type	med-slm
Model Files	1.3 GB 2.6 GB
Supported Languages	en
License	apache-2.0
Vocabulary Size	50257

Rank the MedSLM capabilities

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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