What are the hardware requirements for LLaDA2.2 Mini?

LLaDA2.2 Mini requires approximately 32.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLaDA2.2 Mini and how large is it?

LLaDA2.2 Mini is developed by inclusionAI, a model with 16.3b 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 LLaDA2.2 Mini?

LLaDA2.2 Mini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaDA2.2 Mini by inclusionAI — VRAM 32.5GB, 128K context

Name: LLaDA2.2 Mini
Author: inclusionAI

LLaDA2.2 Mini is an open-source language model by inclusionAI. Features: 16.3b LLM, VRAM: 32.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.36.

Conversational Custom code Diffusion Dllm Llada2 moe Region:us Safetensors Sharded Tensorflow Text generation

Model Card on HF 🤗: https://huggingface.co/inclusionAI/LLaDA2.2-mini

LLaDA2.2 Mini Parameters and Internals

LLM Name	LLaDA2.2 Mini
Repository 🤗	https://huggingface.co/inclusionAI/LLaDA2.2-mini
Model Size	16.3b
Required VRAM	32.5 GB
Updated	2026-09-08
Maintainer	inclusionAI
Model Type	llada2_moe
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.5 GB: 7-of-7
Model Architecture	LLaDA2MoeModelLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.2.0
Tokenizer Class	CustomFastTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	157184
Torch Data Type	bfloat16

Rank the LLaDA2.2 Mini 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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