What are the hardware requirements for Ring 1T?

Ring 1T requires approximately 544.8 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ring 1T and how large is it?

Ring 1T is developed by inclusionAI, a model with 999.7b 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 Ring 1T?

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

Ring 1T by inclusionAI — VRAM 544.8GB, 64K context

Name: Ring 1T
Author: inclusionAI

Ring 1T is an open-source language model by inclusionAI. Features: 999.7b LLM, VRAM: 544.8GB, Context: 64K, License: mit, LLM Explorer Score: 0.24.

Arxiv:2510.18855 Bailing moe Conversational Custom code Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ring-1T

Ring 1T Parameters and Internals

LLM Name	Ring 1T
Repository 🤗	https://huggingface.co/inclusionAI/Ring-1T
Model Size	999.7b
Required VRAM	544.8 GB
Updated	2026-08-08
Maintainer	inclusionAI
Model Type	bailing_moe
Model Files	14.7 GB: 0-of-160 6.4 GB: 1-of-160 6.4 GB: 2-of-160 6.4 GB: 3-of-160 6.4 GB: 4-of-160 6.4 GB: 5-of-160 6.4 GB: 6-of-160 6.4 GB: 7-of-160 14.5 GB: 8-of-160 12.9 GB: 9-of-160 12.9 GB: 10-of-160 12.9 GB: 11-of-160 12.9 GB: 12-of-160 12.9 GB: 13-of-160 12.9 GB: 14-of-160 12.9 GB: 15-of-160 14.5 GB: 16-of-160 12.9 GB: 17-of-160 12.9 GB: 18-of-160 12.9 GB: 19-of-160 12.9 GB: 20-of-160 12.9 GB: 21-of-160 12.9 GB: 22-of-160 12.9 GB: 23-of-160 14.5 GB: 24-of-160 12.9 GB: 25-of-160 12.9 GB: 26-of-160 12.9 GB: 27-of-160 12.9 GB: 28-of-160 12.9 GB: 29-of-160 12.9 GB: 30-of-160 12.9 GB: 31-of-160 14.5 GB: 32-of-160 12.9 GB: 33-of-160 12.9 GB: 34-of-160 12.9 GB: 35-of-160 12.9 GB: 36-of-160 12.9 GB: 37-of-160 12.9 GB: 38-of-160 12.9 GB: 39-of-160 14.5 GB: 40-of-160 12.9 GB: 41-of-160 12.9 GB: 42-of-160 12.9 GB: 43-of-160 12.9 GB: 44-of-160
Model Architecture	BailingMoeV2ForCausalLM
License	mit
Context Length	65536
Model Max Length	65536
Transformers Version	4.52.3
Vocabulary Size	157184
Torch Data Type	bfloat16

Rank the Ring 1T 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 Ring 1T

Best Alternatives	Context / RAM	Downloads	Likes
Ling 1T	32K / 575.4 GB	2434	543
Ring 1T Preview	32K / 575 GB	44	268

Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ring-1T.