What are the hardware requirements for BioGPT Large?

BioGPT Large requires approximately 6.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BioGPT Large and how large is it?

BioGPT Large is developed by microsoft. 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 BioGPT Large?

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

BioGPT Large by microsoft — VRAM 6.3GB, 2K context

Name: BioGPT Large
Author: microsoft

BioGPT Large is an open-source language model by microsoft. Features: LLM, VRAM: 6.3GB, Context: 2K, License: mit, LLM Explorer Score: 0.07.

Biogpt Dataset:pubmed Deploy:azure En Endpoints compatible Medical Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/microsoft/BioGPT-Large

BioGPT Large Parameters and Internals

Model Type

text generation

Use Cases

Areas:

biomedical domain

Primary Use Cases:

biomedical text generation and mining

Additional Notes

Evaluated on six biomedical natural language processing tasks.

Training Details

Data Sources:

large-scale biomedical literature

Methodology:

Pre-trained generative Transformer language model

Model Architecture:

Transformers

LLM Name	BioGPT Large
Repository 🤗	https://huggingface.co/microsoft/BioGPT-Large
Required VRAM	6.3 GB
Updated	2026-07-16
Maintainer	microsoft
Model Type	biogpt
Model Files	6.3 GB
Supported Languages	en
Model Architecture	BioGptForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.27.0.dev0
Tokenizer Class	BioGptTokenizer
Padding Token	<pad>
Vocabulary Size	57717
Torch Data Type	float32

Rank the BioGPT Large 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 BioGPT Large

Best Alternatives	Context / RAM	Downloads	Likes
Molxpt	2K / 1.4 GB	230	2
...GPT Large Finetuned Chatdoctor	2K / 6.3 GB	5	1
BioGPT Large PubMedQA	2K / 6.3 GB	119	119
...d Pubmed Articles Biogpt Large	2K / 6.3 GB	11	1
Biogpt Fork	1K / 1.6 GB	7	0
Autotrain 2bj8e Oe91c	1K / 1.4 GB	6	0
Biogpt	1K / 1.6 GB	103718	307
... Biogpt Noised Pubmed Match V1	1K / 1.4 GB	6	0
PM Model	1K / 1.4 GB	6	0
GPT Finetuned Healthcare	1K / 1.4 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than microsoft/BioGPT-Large.