What are the hardware requirements for AReaL Boba 2 8B Open?

AReaL Boba 2 8B Open requires approximately 16.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AReaL Boba 2 8B Open and how large is it?

AReaL Boba 2 8B Open is developed by inclusionAI, a model with 8b 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 AReaL Boba 2 8B Open?

AReaL Boba 2 8B Open is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AReaL Boba 2 8B Open by inclusionAI — VRAM 16.4GB, 40K context

Name: AReaL Boba 2 8B Open
Author: inclusionAI

AReaL Boba 2 8B Open is an open-source language model by inclusionAI. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2505.24298 Endpoints compatible Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/inclusionAI/AReaL-boba-2-8B-Open

AReaL Boba 2 8B Open Parameters and Internals

LLM Name	AReaL Boba 2 8B Open
Repository 🤗	https://huggingface.co/inclusionAI/AReaL-boba-2-8B-Open
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-09
Maintainer	inclusionAI
Model Type	qwen3
Model Files	4.0 GB: 1-of-4 4.2 GB: 2-of-4 4.2 GB: 3-of-4 4.0 GB: 4-of-4
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the AReaL Boba 2 8B Open 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

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RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
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...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/AReaL-boba-2-8B-Open.