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Ring Lite 2507 by inclusionAI

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Ring Lite 2507 is an open-source language model by inclusionAI. Features: 16.8b LLM, VRAM: 33.6GB, Context: 32K, License: mit, LLM Explorer Score: 0.21.

  Arxiv:2506.14731   Bailing moe Base model:finetune:inclusiona... Base model:inclusionai/ling-li...   Custom code   En   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ring-lite-2507 

Ring Lite 2507 Benchmarks

LLME Score: 0.21348
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ring Lite 2507 (inclusionAI/Ring-lite-2507)
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Ring Lite 2507 Parameters and Internals

LLM NameRing Lite 2507
Repository 🤗https://huggingface.co/inclusionAI/Ring-lite-2507 
Base Model(s)  inclusionAI/Ling-lite-base-1.5   inclusionAI/Ling-lite-base-1.5
Model Size16.8b
Required VRAM33.6 GB
Updated2026-05-25
MaintainerinclusionAI
Model Typebailing_moe
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languageszh en
Model ArchitectureBailingMoeForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.51.1
Tokenizer ClassPreTrainedTokenizer
Padding Token<|endoftext|>
Vocabulary Size126464
Torch Data Typebfloat16

Best Alternatives to Ring Lite 2507

Best Alternatives
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Ling Lite 1.5 250732K / 33.6 GB5677
Ling Lite 1.5 250632K / 33.6 GB7753
Ling Lite32K / 24.8 GB49379
Ling Lite Base16K / 33.6 GB6630
Ling Coder Lite4K / 33.6 GB7454
Ling Coder Lite Base4K / 33.6 GB6728
Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ring-lite-2507.

Rank the Ring Lite 2507 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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