Ring Flash 2.0 by inclusionAI

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  Autotrain compatible   Bailing moe Base model:finetune:inclusiona... Base model:inclusionai/ling-fl...   Conversational   Custom code   Region:us   Safetensors   Sharded   Tensorflow

Ring Flash 2.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ring Flash 2.0 (inclusionAI/Ring-flash-2.0)
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Ring Flash 2.0 Parameters and Internals

LLM NameRing Flash 2.0
Repository ๐Ÿค—https://huggingface.co/inclusionAI/Ring-flash-2.0 
Base Model(s)  inclusionAI/Ling-flash-base-2.0   inclusionAI/Ling-flash-base-2.0
Model Size102.9b
Required VRAM206 GB
Updated2025-09-20
MaintainerinclusionAI
Model Typebailing_moe
Model Files  15.2 GB: 0-of-16   12.1 GB: 1-of-16   12.1 GB: 2-of-16   12.1 GB: 3-of-16   12.1 GB: 4-of-16   12.1 GB: 5-of-16   12.1 GB: 6-of-16   12.1 GB: 7-of-16   15.8 GB: 8-of-16   12.9 GB: 9-of-16   12.9 GB: 10-of-16   12.9 GB: 11-of-16   12.9 GB: 12-of-16   12.9 GB: 13-of-16   12.9 GB: 14-of-16   12.9 GB: 15-of-16
Model ArchitectureBailingMoeV2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.52.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size157184
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than inclusionAI/Ring-flash-2.0.

Rank the Ring Flash 2.0 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