What are the hardware requirements for NeuraMed?

NeuraMed requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NeuraMed and how large is it?

NeuraMed is developed by harishussain12, a model with 124.4m 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 NeuraMed?

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

NeuraMed by harishussain12 — VRAM 0.5GB

Name: NeuraMed
Author: harishussain12

NeuraMed is an open-source language model by harishussain12. Features: 124.4m LLM, VRAM: 0.5GB, Fine-Tuned, LLM Explorer Score: 0.16.

Base model:finetune:openai-com... Base model:openai-community/gp... Dataset:eswardivi/medical qa Dataset:fundialogues/healthcar... En Endpoints compatible Finetuned Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/harishussain12/NeuraMed

NeuraMed Parameters and Internals

LLM Name	NeuraMed
Repository 🤗	https://huggingface.co/harishussain12/NeuraMed
Base Model(s)	Gpt2 openai-community/gpt2
Model Size	124.4m
Required VRAM	0.5 GB
Updated	2026-04-17
Maintainer	harishussain12
Model Type	gpt2
Model Files	0.5 GB 0.0 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
Model Max Length	1024
Transformers Version	4.46.3
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	50258
Torch Data Type	float32
Activation Function	gelu_new

Rank the NeuraMed 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

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Note: green Score (e.g. "73.2") means that the model is better than harishussain12/NeuraMed.