What are the hardware requirements for Asclepius 13B GPTQ?

Asclepius 13B GPTQ requires approximately 7.3 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 Asclepius 13B GPTQ and how large is it?

Asclepius 13B GPTQ is developed by TheBloke, 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 GPTQ?

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

Asclepius 13B GPTQ by TheBloke — VRAM 7.3GB, 2K context

Name: Asclepius 13B GPTQ
Author: TheBloke

Asclepius 13B GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.08.

4-bit Base model:quantized:starmpcc/... Base model:starmpcc/asclepius-... Dataset:starmpcc/asclepius-syn... En Gptq Llama Medical Quantized Region:us Safetensors

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

Asclepius 13B GPTQ Parameters and Internals

Model Type

Clinical LLM, text2text-generation

Use Cases

Primary Use Cases:

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

Limitations:

ONLY USE THIS MODEL FOR RESEARCH PURPOSE!!

Supported Languages

English (NLP)

Training Details

Data Sources:

https://huggingface.co/datasets/starmpcc/Asclepius-Synthetic-Clinical-Notes

Methodology:

Initial training with causal language modeling on synthetic clinical notes, fine-tuned with clinical instruction-response pairs

Training Time:

Pre-Training (1 epoch): 1h 52m with 8x A100 80G, Instruction Fine-Tuning (3 epoch): 12h 16m with 8x A100 80G

LLM Name	Asclepius 13B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Asclepius-13B-GPTQ
Model Name	Asclepius 13B
Model Creator	Junu Kim
Base Model(s)	Asclepius 13B starmpcc/Asclepius-13B
Model Size	13b
Required VRAM	7.3 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Asclepius 13B GPTQ 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

Best Alternatives to Asclepius 13B GPTQ

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Yarn Llama 2 13B 128K GPTQ	128K / 7.3 GB	30	16
LongAlign 13B 64K GPTQ	64K / 7.3 GB	5	1
...boros L2 13B 2 1 YaRN 64K GPTQ	64K / 7.3 GB	6	3
Yarn Llama 2 13B 64K GPTQ	64K / 7.3 GB	20	1
OrcaMaid V3 13B 32K GPTQ	32K / 7.3 GB	13	3
OrcaMaid V2 FIX 13B 32K GPTQ	32K / 7.3 GB	12	4
EverythingLM 13B 16K GPTQ	16K / 7.3 GB	70	14
LlongOrca 13B 16K GPT	16K / 7.3 GB	5	0
Tinybra 13B GPTQ 32g 4BIT	16K / 8 GB	3	1
Tinybra 13B GPTQ 4BIT	16K / 7 GB	5	0

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