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Qwen3 4B BiasExpert by EmergentMethods

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Qwen3 4B BiasExpert is an open-source language model by EmergentMethods. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.2.

  Bias-detection   Content-analysis   Conversational   En   Journalism   Media-bias   News-analysis   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EmergentMethods/Qwen3-4B-BiasExpert 

Qwen3 4B BiasExpert Benchmarks

LLME Score: 0.20172
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B BiasExpert (EmergentMethods/Qwen3-4B-BiasExpert)
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Qwen3 4B BiasExpert Parameters and Internals

LLM NameQwen3 4B BiasExpert
Repository 🤗https://huggingface.co/EmergentMethods/Qwen3-4B-BiasExpert 
Model Size4b
Required VRAM8.1 GB
Updated2026-07-01
MaintainerEmergentMethods
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than EmergentMethods/Qwen3-4B-BiasExpert.

Rank the Qwen3 4B BiasExpert Capabilities

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Instruction Following and Task Automation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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