What are the hardware requirements for Ring Lite Distill Preview?

Ring Lite Distill Preview requires approximately 33.6 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ring Lite Distill Preview and how large is it?

Ring Lite Distill Preview is developed by inclusionAI, a model with 16.8b 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 Ring Lite Distill Preview?

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

Ring Lite Distill Preview by inclusionAI — VRAM 33.6GB, 16K context

Name: Ring Lite Distill Preview
Author: inclusionAI

Ring Lite Distill Preview is an open-source language model by inclusionAI. Features: 16.8b LLM, VRAM: 33.6GB, Context: 16K, License: mit, LLM Explorer Score: 0.18.

Bailing moe Base model:finetune:inclusiona... Base model:inclusionai/ling-li... Conversational Custom code En Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ring-lite-distill-preview

Ring Lite Distill Preview Parameters and Internals

LLM Name	Ring Lite Distill Preview
Repository 🤗	https://huggingface.co/inclusionAI/Ring-lite-distill-preview
Base Model(s)	Ling Lite inclusionAI/Ling-lite
Model Size	16.8b
Required VRAM	33.6 GB
Updated	2026-07-22
Maintainer	inclusionAI
Model Type	bailing_moe
Model Files	9.3 GB: 1-of-4 9.3 GB: 2-of-4 9.3 GB: 3-of-4 5.7 GB: 4-of-4
Supported Languages	zh en
Model Architecture	BailingMoeForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.36.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	126464
Torch Data Type	bfloat16

Rank the Ring Lite Distill Preview 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 Lite Distill Preview

Best Alternatives	Context / RAM	Downloads	Likes
Ling Lite 1.5	32K / 33.6 GB	31348	57
Ling Lite 1.5 2507	32K / 33.6 GB	51	77
Ring Lite 2507	32K / 33.6 GB	32	60
Ling Lite 1.5 2506	32K / 33.6 GB	32	53
Ring Lite	32K / 24.4 GB	154	49
Ling Lite	32K / 24.8 GB	624	82
Ling Lite Base 1.5	32K / 25.2 GB	53	33
Ling Lite Base	16K / 33.6 GB	171	29
Ling Coder Lite	4K / 33.6 GB	93	53
Ling Coder Lite Base	4K / 33.6 GB	44	28

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