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Qwen2 7B Instruct FP8 by RedHatAI

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Model Card on HF 🤗: https://huggingface.co/RedHatAI/Qwen2-7B-Instruct-FP8 

Qwen2 7B Instruct FP8 Benchmarks

LLME Score: 0.22997
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct FP8 (RedHatAI/Qwen2-7B-Instruct-FP8)

Qwen2 7B Instruct FP8 Parameters and Internals

LLM NameQwen2 7B Instruct FP8
Repository 🤗https://huggingface.co/RedHatAI/Qwen2-7B-Instruct-FP8 
Model Size7b
Required VRAM8.7 GB
Updated2025-06-01
MaintainerRedHatAI
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.7 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 7B Instruct FP8

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB137
Q2.5 Instruct 1M Harmony986K / 15.2 GB192
Impish QWEN 7B 1M986K / 15.2 GB244
COCO 7B Instruct 1M986K / 15.2 GB114
Apollo 7B986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.2 GB8602
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB110
Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Qwen2-7B-Instruct-FP8.

Rank the Qwen2 7B 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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