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Qwen2 72B Instruct FP8 by RedHatAI

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Model Card on HF 🤗: https://huggingface.co/RedHatAI/Qwen2-72B-Instruct-FP8 

Qwen2 72B Instruct FP8 Benchmarks

LLME Score: 0.19784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 72B Instruct FP8 (RedHatAI/Qwen2-72B-Instruct-FP8)

Qwen2 72B Instruct FP8 Parameters and Internals

LLM NameQwen2 72B Instruct FP8
Repository 🤗https://huggingface.co/RedHatAI/Qwen2-72B-Instruct-FP8 
Model Size72b
Required VRAM75.5 GB
Updated2025-06-01
MaintainerRedHatAI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-16   4.8 GB: 2-of-16   4.9 GB: 3-of-16   4.8 GB: 4-of-16   4.9 GB: 5-of-16   4.8 GB: 6-of-16   4.9 GB: 7-of-16   4.8 GB: 8-of-16   4.9 GB: 9-of-16   4.8 GB: 10-of-16   4.9 GB: 11-of-16   4.8 GB: 12-of-16   4.9 GB: 13-of-16   4.8 GB: 14-of-16   4.9 GB: 15-of-16   2.7 GB: 16-of-16
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Qwen2-72B-Instruct-FP8.

Rank the Qwen2 72B Instruct FP8 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  
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Release v20241227
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