What are the hardware requirements for AquilaChat2 34B AWQ?

AquilaChat2 34B AWQ requires approximately 19.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AquilaChat2 34B AWQ and how large is it?

AquilaChat2 34B AWQ is developed by TheBloke, a model with 34b 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 AquilaChat2 34B AWQ?

AquilaChat2 34B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AquilaChat2 34B AWQ by TheBloke — VRAM 19.3GB, 4K context

Name: AquilaChat2 34B AWQ
Author: TheBloke

AquilaChat2 34B AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 19.3GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.09.

4-bit Aquila Awq Base model:baai/aquilachat2-34... Base model:quantized:baai/aqui... Custom code Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/AquilaChat2-34B-AWQ

AquilaChat2 34B AWQ Parameters and Internals

Model Type

aquila

Input Output

Input Format:

System: A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. Human: {prompt} Assistant:

Accepted Modalities:

text

LLM Name	AquilaChat2 34B AWQ
Repository 🤗	https://huggingface.co/TheBloke/AquilaChat2-34B-AWQ
Model Name	AquilaChat2 34B
Model Creator	Beijing Academy of Artificial Intelligence
Base Model(s)	AquilaChat2 34B BAAI/AquilaChat2-34B
Model Size	34b
Required VRAM	19.3 GB
Updated	2026-07-22
Maintainer	TheBloke
Model Type	aquila
Model Files	10.0 GB: 1-of-2 9.3 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	AquilaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	100008
Torch Data Type	float16

Rank the AquilaChat2 34B AWQ 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 AquilaChat2 34B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
AquilaChat2 34B 16K AWQ	4K / 19.3 GB	10	3
AquilaChat2 34B 16K	16K / 67.2 GB	168	26
Aquila2 34B	8K / 136.4 GB	312	19
AquilaChat2 34B	4K / 67.2 GB	148	47
AquilaChat2 34B 16K GPTQ	4K / 18.7 GB	7	5
AquilaChat2 34B GPTQ	4K / 18.7 GB	16	2
H2ogpt 16K Aquilachat2 34B	4K / 67.2 GB	9	4

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/AquilaChat2-34B-AWQ.