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Qwen3 4B HindiNER All Exp4 by nis12ram

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  Autotrain compatible Base model:finetune:unsloth/qw...   Base model:unsloth/qwen3-4b   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/nis12ram/qwen3-4b-hindiNER-all-exp4 

Qwen3 4B HindiNER All Exp4 Benchmarks

LLME Score: 0.25966
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B HindiNER All Exp4 (nis12ram/qwen3-4b-hindiNER-all-exp4)

Qwen3 4B HindiNER All Exp4 Parameters and Internals

LLM NameQwen3 4B HindiNER All Exp4
Repository 🤗https://huggingface.co/nis12ram/qwen3-4b-hindiNER-all-exp4 
Base Model(s)  Qwen3 4B   unsloth/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2025-05-17
Maintainernis12ram
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 Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nis12ram/qwen3-4b-hindiNER-all-exp4.

Rank the Qwen3 4B HindiNER All Exp4 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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