Qwen3 8B ShiningValiant3 by ValiantLabs

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Qwen3 8B ShiningValiant3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 8B ShiningValiant3 (ValiantLabs/Qwen3-8B-ShiningValiant3)
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Qwen3 8B ShiningValiant3 Parameters and Internals

LLM NameQwen3 8B ShiningValiant3
Repository ๐Ÿค—https://huggingface.co/ValiantLabs/Qwen3-8B-ShiningValiant3 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM32.7 GB
Updated2025-08-26
MaintainerValiantLabs
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   4.8 GB: 6-of-7   3.5 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.53.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/Qwen3-8B-ShiningValiant3.

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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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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124