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Ea2844eea0cce 8688 4e12 9786 0793d849b262 by cwaud

 »  All LLMs  »  cwaud  »  Ea2844eea0cce 8688 4e12 9786 0793d849b262   URL Share it on

  18   
  Arxiv:2407.10671   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/cwaud/ea2844eea0cce-8688-4e12-9786-0793d849b262 

Ea2844eea0cce 8688 4e12 9786 0793d849b262 Benchmarks

LLME Score: 0.20968
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ea2844eea0cce 8688 4e12 9786 0793d849b262 (cwaud/ea2844eea0cce-8688-4e12-9786-0793d849b262)
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Ea2844eea0cce 8688 4e12 9786 0793d849b262 Parameters and Internals

LLM NameEa2844eea0cce 8688 4e12 9786 0793d849b262
Repository 🤗https://huggingface.co/cwaud/ea2844eea0cce-8688-4e12-9786-0793d849b262 
Model Size494m
Required VRAM1 GB
Updated2025-07-02
Maintainercwaud
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
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 cwaud/ea2844eea0cce-8688-4e12-9786-0793d849b262.

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