Iridium 72B V0.1 by leafspark

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mergekit   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh

Iridium 72B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Iridium 72B V0.1 (leafspark/Iridium-72B-v0.1)
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Iridium 72B V0.1 Parameters and Internals

LLM NameIridium 72B V0.1
Repository ๐Ÿค—https://huggingface.co/leafspark/Iridium-72B-v0.1 
Model Size72b
Required VRAM2.5 GB
Updated2025-08-17
Maintainerleafspark
Model Typeqwen2
Model Files  2.5 GB: 31-of-31   2.5 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB   0.1 GB   0.0 GB   0.1 GB   0.0 GB   0.0 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB   0.1 GB   0.0 GB   0.1 GB   0.0 GB   0.0 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB   0.1 GB   0.0 GB   0.1 GB   0.0 GB   0.0 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than leafspark/Iridium-72B-v0.1.

Rank the Iridium 72B V0.1 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