What are the hardware requirements for Aquila 7B?

Aquila 7B requires approximately 14.5 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 Aquila 7B and how large is it?

Aquila 7B is developed by qhduan, a model with 7b 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 Aquila 7B?

Aquila 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aquila 7B by qhduan — VRAM 14.5GB, 2K context

Name: Aquila 7B
Author: qhduan

Aquila 7B is an open-source language model by qhduan. Features: 7b LLM, VRAM: 14.5GB, Context: 2K, LLM Explorer Score: 0.07.

Custom code Endpoints compatible Llama Pytorch Region:us Sharded Zh

Model Card on HF 🤗: https://huggingface.co/qhduan/aquila-7b

Aquila 7B Parameters and Internals

Model Type

text generation

Additional Notes

Usage includes setting the model to evaluation mode, half precision, and using CUDA.

Supported Languages

Chinese (fluent)

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

LLM Name	Aquila 7B
Repository 🤗	https://huggingface.co/qhduan/aquila-7b
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-06
Maintainer	qhduan
Model Type	llama
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Supported Languages	zh
Model Architecture	AquilaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	100008
Torch Data Type	float16

Rank the Aquila 7B 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 Aquila 7B

Best Alternatives	Context / RAM	Downloads	Likes
AquilaChat2 7B 16K	16K / 29.2 GB	134	9
Aquila2 7B	8K / 30.8 GB	408	6
AquilaChat2 7B	2K / 29.2 GB	642	18
Aquilachat 7B	2K / 14.5 GB	31	17
Tiny Random Aquilachat	0.1K / 0 GB	325	0
Tiny Random Aquila2	0.1K / 0 GB	71	0
Aquila 2 7B Chat AWQ	2K / 5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than qhduan/aquila-7b.