What are the hardware requirements for Aquila 2 7B Chat AWQ?

Aquila 2 7B Chat AWQ requires approximately 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 2 7B Chat AWQ and how large is it?

Aquila 2 7B Chat AWQ is developed by casperhansen, 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 2 7B Chat AWQ?

Aquila 2 7B Chat AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aquila 2 7B Chat AWQ by casperhansen — VRAM 5GB, 2K context

Name: Aquila 2 7B Chat AWQ
Author: casperhansen

Aquila 2 7B Chat AWQ is an open-source language model by casperhansen. Features: 7b LLM, VRAM: 5GB, Context: 2K, Quantized, LLM Explorer Score: 0.09.

4-bit Aquila Awq Custom code Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/casperhansen/aquila-2-7b-chat-awq

Aquila 2 7B Chat AWQ Parameters and Internals

LLM Name	Aquila 2 7B Chat AWQ
Repository 🤗	https://huggingface.co/casperhansen/aquila-2-7b-chat-awq
Model Size	7b
Required VRAM	5 GB
Updated	2026-07-23
Maintainer	casperhansen
Model Type	aquila
Model Files	5.0 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	AquilaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	100008
Torch Data Type	float16

Rank the Aquila 2 7B Chat AWQ 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 Aquila 2 7B Chat AWQ

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
Aquila 7B	2K / 14.5 GB	12	11
Tiny Random Aquilachat	0.1K / 0 GB	325	0
Tiny Random Aquila2	0.1K / 0 GB	71	0

Note: green Score (e.g. "73.2") means that the model is better than casperhansen/aquila-2-7b-chat-awq.