What are the hardware requirements for LLaDA 1.5?

LLaDA 1.5 requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLaDA 1.5 and how large is it?

LLaDA 1.5 is developed by GSAI-ML, 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 LLaDA 1.5?

LLaDA 1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaDA 1.5 by GSAI-ML — VRAM 16.1GB

Name: LLaDA 1.5
Author: GSAI-ML

LLaDA 1.5 is an open-source language model by GSAI-ML. Features: 8b LLM, VRAM: 16.1GB, License: mit, LLM Explorer Score: 0.25.

Arxiv:2505.19223 Conversational Custom code Llada Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/GSAI-ML/LLaDA-1.5

LLaDA 1.5 Parameters and Internals

LLM Name	LLaDA 1.5
Repository 🤗	https://huggingface.co/GSAI-ML/LLaDA-1.5
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-01
Maintainer	GSAI-ML
Model Type	llada
Model Files	3.0 GB: 1-of-6 3.0 GB: 2-of-6 3.0 GB: 3-of-6 2.9 GB: 4-of-6 3.0 GB: 5-of-6 1.2 GB: 6-of-6
Model Architecture	LLaDAModelLM
License	mit
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	126464

Rank the LLaDA 1.5 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 LLaDA 1.5

Best Alternatives	Context / RAM	Downloads	Likes
LLaDA 8B Instruct	0K / 16.1 GB	419335	359
LLaDA 8B Base	0K / 16.1 GB	93119	100

Note: green Score (e.g. "73.2") means that the model is better than GSAI-ML/LLaDA-1.5.