What are the hardware requirements for LLaDA2.1 Mini ORL?

LLaDA2.1 Mini ORL requires approximately 32.6 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 LLaDA2.1 Mini ORL and how large is it?

LLaDA2.1 Mini ORL is developed by yifanyu, 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 LLaDA2.1 Mini ORL?

LLaDA2.1 Mini ORL is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaDA2.1 Mini ORL by yifanyu — VRAM 32.6GB, 32K context

Name: LLaDA2.1 Mini ORL
Author: yifanyu

LLaDA2.1 Mini ORL is an open-source language model by yifanyu. Features: 16.3b LLM, VRAM: 32.6GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.33.

Arxiv:2610.20687 Base model:finetune:inclusiona... Base model:inclusionai/llada2.... Conversational Custom code Diffusion-lm En Llada Llada2 moe On-policy-residual-learning Orl Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yifanyu/LLaDA2.1-mini-ORL

LLaDA2.1 Mini ORL Parameters and Internals

LLM Name	LLaDA2.1 Mini ORL
Repository 🤗	https://huggingface.co/yifanyu/LLaDA2.1-mini-ORL
Base Model(s)	inclusionAI/LLaDA2.1-mini inclusionAI/LLaDA2.1-mini
Model Size	16.3b
Required VRAM	32.6 GB
Updated	2026-10-19
Maintainer	yifanyu
Model Type	llada2_moe
Model Files	32.6 GB
Supported Languages	en
Model Architecture	LLaDA2MoeModelLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.8.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	157184

Rank the LLaDA2.1 Mini ORL 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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