What are the hardware requirements for AquilaCode Py?

AquilaCode Py 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 AquilaCode Py and how large is it?

AquilaCode Py is developed by BAAI. 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 AquilaCode Py?

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

AquilaCode Py by BAAI — VRAM 14.5GB, 2K context

Name: AquilaCode Py
Author: BAAI

AquilaCode Py is an open-source language model by BAAI. Features: LLM, VRAM: 14.5GB, Context: 2K, License: other, LLM Explorer Score: 0.08.

Aquila Endpoints compatible Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/BAAI/AquilaCode-py

AquilaCode Py Parameters and Internals

Model Type

base model, SFT model

Supported Languages

English (supported), Chinese (supported)

Release Notes

Version:

v0.9

Date:

2023/07/24

Notes:

Release of v0.9 with improvements in model versions such as AquilaCode-multi.

LLM Name	AquilaCode Py
Repository 🤗	https://huggingface.co/BAAI/AquilaCode-py
Required VRAM	14.5 GB
Updated	2026-09-30
Maintainer	BAAI
Model Type	aquila
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	100008
Torch Data Type	float16

Rank the AquilaCode Py 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 AquilaCode Py

Best Alternatives	Context / RAM	Downloads	Likes
LWM Text 512K	512K / 13.5 GB	13	2
LWM Text Chat 512K	512K / 13.5 GB	9	2
LWM Text Chat 256K	256K / 13.5 GB	10	3
LWM Text 256K	256K / 13.5 GB	5	3
Pallas 0.5 LASER 0.1	195K / 68.9 GB	52	2
SnorTTS Indic V0	128K / 9.5 GB	518	22
Orpheus AUS	128K / GB	18	0
Finetuning Health Ci	128K / 6.5 GB	23	2
Ukr Synth Phi 3.5	128K / 7.6 GB	9	0
WizardLM Phi 3.5	128K / 7.6 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than BAAI/AquilaCode-py.