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Ling Lite by inclusionAI

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  Arxiv:2503.05139   Autotrain compatible   Bailing moe   Conversational   Custom code   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/inclusionAI/Ling-lite 

Ling Lite Benchmarks

LLME Score: 0.23474
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ling Lite (inclusionAI/Ling-lite)
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Ling Lite Parameters and Internals

LLM NameLing Lite
Repository 🤗https://huggingface.co/inclusionAI/Ling-lite 
Model Size16.8b
Required VRAM24.8 GB
Updated2025-09-23
MaintainerinclusionAI
Model Typebailing_moe
Model Files  0.5 GB: 1-of-66   0.0 GB: 2-of-66   0.4 GB: 3-of-66   0.2 GB: 4-of-66   0.0 GB: 5-of-66   0.6 GB: 6-of-66   0.3 GB: 7-of-66   0.0 GB: 8-of-66   0.7 GB: 9-of-66   0.7 GB: 10-of-66   0.7 GB: 11-of-66   0.7 GB: 12-of-66   0.7 GB: 13-of-66   0.7 GB: 14-of-66   0.7 GB: 15-of-66   0.7 GB: 16-of-66   0.7 GB: 17-of-66   0.7 GB: 18-of-66   0.7 GB: 19-of-66   0.7 GB: 20-of-66   0.7 GB: 21-of-66   0.7 GB: 22-of-66   0.7 GB: 23-of-66   0.7 GB: 24-of-66   0.7 GB: 25-of-66   0.7 GB: 26-of-66   0.7 GB: 27-of-66   0.7 GB: 28-of-66   0.7 GB: 29-of-66   0.7 GB: 30-of-66   0.7 GB: 31-of-66   0.7 GB: 32-of-66   0.7 GB: 33-of-66   0.7 GB: 34-of-66   0.7 GB: 35-of-66   0.7 GB: 36-of-66   0.4 GB: 37-of-66   0.4 GB: 38-of-66   0.4 GB: 39-of-66   0.4 GB: 40-of-66   0.4 GB: 41-of-66   0.4 GB: 42-of-66   0.4 GB: 43-of-66   0.4 GB: 44-of-66
Model ArchitectureBailingMoeForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size126464
Torch Data Typebfloat16

Best Alternatives to Ling Lite

Best Alternatives
Context / RAM
Downloads
Likes
Ling Lite 1.5 250732K / 33.6 GB18475
Ring Lite 250732K / 33.6 GB9357
Ling Lite 1.5 250632K / 33.6 GB8352
Ring Lite Distill Preview16K / 33.6 GB9343
Ling Lite Base16K / 33.6 GB9428
Ling Coder Lite4K / 33.6 GB11347
Ling Coder Lite Base4K / 33.6 GB8126
Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ling-lite.

Rank the Ling Lite 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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