What are the hardware requirements for Athene V2 Agent?

Athene V2 Agent requires approximately 146 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Athene V2 Agent and how large is it?

Athene V2 Agent is developed by Nexusflow, a model with 72b 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 Athene V2 Agent?

Athene V2 Agent is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Athene V2 Agent by Nexusflow — VRAM 146GB, 32K context

Name: Athene V2 Agent
Rating: 1 (1 reviews)
Author: Nexusflow

Athene V2 Agent is an open-source language model by Nexusflow. Features: 72b LLM, VRAM: 146GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.16.

Agent Athene Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b-in... Conversational Deploy:azure En Endpoints compatible Extraction Function calling Instruct Nexusflow Qwen2 Region:us Rlhf Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nexusflow/Athene-V2-Agent

Athene V2 Agent Parameters and Internals

Model Type

Agent Model

Additional Notes

Athene-V2-Agent is usable in any OpenAI API-compatible environment using VLLM docker image.

LLM Name	Athene V2 Agent
Repository 🤗	https://huggingface.co/Nexusflow/Athene-V2-Agent
Base Model(s)	Qwen/Qwen2.5-72B-Instruct Qwen/Qwen2.5-72B-Instruct
Model Size	72b
Required VRAM	146 GB
Updated	2026-06-05
Maintainer	Nexusflow
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.5 GB: 1-of-31 5.0 GB: 2-of-31 4.8 GB: 3-of-31 4.8 GB: 4-of-31 4.8 GB: 5-of-31 5.0 GB: 6-of-31 4.8 GB: 7-of-31 4.8 GB: 8-of-31 4.8 GB: 9-of-31 5.0 GB: 10-of-31 4.8 GB: 11-of-31 4.8 GB: 12-of-31 4.8 GB: 13-of-31 5.0 GB: 14-of-31 4.8 GB: 15-of-31 4.8 GB: 16-of-31 4.8 GB: 17-of-31 5.0 GB: 18-of-31 4.8 GB: 19-of-31 4.8 GB: 20-of-31 4.8 GB: 21-of-31 5.0 GB: 22-of-31 4.8 GB: 23-of-31 4.8 GB: 24-of-31 4.8 GB: 25-of-31 5.0 GB: 26-of-31 4.8 GB: 27-of-31 4.8 GB: 28-of-31 4.8 GB: 29-of-31 3.2 GB: 30-of-31 2.5 GB: 31-of-31
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151672
Torch Data Type	bfloat16
Errors	replace

Rank the Athene V2 Agent 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 Athene V2 Agent

Best Alternatives	Context / RAM	Downloads	Likes
EVA Qwen2.5 72B V0.2	128K / 146 GB	159	22
AceInstruct 72B	128K / 146 GB	88	18
...n2.5 72B 2x Instruct TIES V1.0	128K / 146.1 GB	76	1
...2B PT BR Instruct Experimental	128K / 146 GB	20	0
... BI Qwen2.5 72B PT BR Instruct	128K / 146 GB	5	0
...A Abliterated TIES Qwen2.5 72B	128K / 146.1 GB	8	1
72B Qwen2.5 Kunou V1	128K / 146 GB	77	26
EVA Qwen2.5 72B V0.1	128K / 146 GB	17	19
EVA Qwen2.5 72B V0.0	128K / 146 GB	10	5
Qwen2 72B Instruct	32K / 145.5 GB	61318	718

Note: green Score (e.g. "73.2") means that the model is better than Nexusflow/Athene-V2-Agent.