What are the hardware requirements for Asclepius 13B?

Asclepius 13B requires approximately 52.1 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 Asclepius 13B and how large is it?

Asclepius 13B is developed by starmpcc, a model with 13b 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 Asclepius 13B?

Asclepius 13B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Asclepius 13B by starmpcc — VRAM 52.1GB, 2K context

Name: Asclepius 13B
Author: starmpcc

Asclepius 13B is an open-source language model by starmpcc. Features: 13b LLM, VRAM: 52.1GB, Context: 2K, License: cc-by-nc-4.0, LLM Explorer Score: 0.08.

Arxiv:2309.00237 Dataset:starmpcc/asclepius-syn... En Endpoints compatible Llama Medical Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/starmpcc/Asclepius-13B

Asclepius 13B Parameters and Internals

Model Type

Clinical LLM (Large Language Model)

Use Cases

Applications:

Research only

Primary Use Cases:

Named Entity Recognition, Abbreviation Expansion, Relation Extraction, Temporal Information Extraction, Coreference Resolution, Paraphrasing, Summarization, Question Answering

Supported Languages

language (English), proficiency ()

Training Details

Data Sources:

starmpcc/Asclepius-Synthetic-Clinical-Notes

Methodology:

Initial training was conducted using causal language modeling on synthetic clinical notes. It was then fine-tuned with clinical instruction-response pairs.

Hardware Used:

8x A100 80G for Pre-Training, 8x A100 80G for Instruction Fine-Tuning

Release Notes

Version:

2024.01.10

Notes:

Asclepius-R, the variant of Asclepius that trained on MIMIC-III discharge summaries, is now available on Physionet.

LLM Name	Asclepius 13B
Repository 🤗	https://huggingface.co/starmpcc/Asclepius-13B
Model Size	13b
Required VRAM	52.1 GB
Updated	2026-07-19
Maintainer	starmpcc
Model Type	llama
Model Files	10.0 GB: 1-of-6 9.9 GB: 2-of-6 9.9 GB: 3-of-6 9.9 GB: 4-of-6 9.9 GB: 5-of-6 2.5 GB: 6-of-6 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float32

Rank the Asclepius 13B 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

Quantized Models of the Asclepius 13B

Model	Likes	Downloads	VRAM
Asclepius 13B GGUF	8	100	5 GB
Asclepius 13B GPTQ	3	9	7 GB
Asclepius 13B GGML	1	6	5 GB

Best Alternatives to Asclepius 13B

Best Alternatives	Context / RAM	Downloads	Likes
Luminaura RP 13B	128K / 26 GB	9	1
Yarn Llama 2 13B 128K	128K / 26 GB	184	113
Agent Llama2 13B 80K	80K / 26.4 GB	5	0
Chat Llama2 13B 80K	80K / 52.8 GB	5	0
LongAlign 13B 64K	64K / 26 GB	96	13
LongAlign 13B 64K Base	64K / 26 GB	89	3
LongAlign 13B 64K	64K / 26 GB	11	13
LongAlign 13B 64K Base	64K / 26 GB	6	3
Openbuddy Llama2 13B V15p1 64K	64K / 26.1 GB	4	4
Openbuddy Llama2 13b64k V15	64K / 26.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than starmpcc/Asclepius-13B.