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Qwen3 14B Esper3 by ValiantLabs

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Model Card on HF 🤗: https://huggingface.co/ValiantLabs/Qwen3-14B-Esper3 

Qwen3 14B Esper3 Benchmarks

LLME Score: 0.22469
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 14B Esper3 (ValiantLabs/Qwen3-14B-Esper3)
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Qwen3 14B Esper3 Parameters and Internals

LLM NameQwen3 14B Esper3
Repository 🤗https://huggingface.co/ValiantLabs/Qwen3-14B-Esper3 
Base Model(s)  Qwen3 14B   Qwen/Qwen3-14B
Model Size14b
Required VRAM59 GB
Updated2025-12-03
MaintainerValiantLabs
Model Typeqwen3
Instruction-BasedYes
Model Files  4.7 GB: 1-of-13   4.7 GB: 2-of-13   4.9 GB: 3-of-13   4.9 GB: 4-of-13   4.7 GB: 5-of-13   4.9 GB: 6-of-13   4.9 GB: 7-of-13   4.7 GB: 8-of-13   4.9 GB: 9-of-13   4.9 GB: 10-of-13   4.7 GB: 11-of-13   3.0 GB: 12-of-13   3.1 GB: 13-of-13
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
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/Qwen3-14B-Esper3.

Rank the Qwen3 14B Esper3 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  
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Release v20241124
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