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KRX Qwen2.5 7B SFT MultiHiertt by KoFinanceLLM

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  Instruct   Krx   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt 

KRX Qwen2.5 7B SFT MultiHiertt Benchmarks

LLME Score: 0.22157
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KRX Qwen2.5 7B SFT MultiHiertt (KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt)

KRX Qwen2.5 7B SFT MultiHiertt Parameters and Internals

LLM NameKRX Qwen2.5 7B SFT MultiHiertt
Repository 🤗https://huggingface.co/KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
MaintainerKoFinanceLLM
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt.

Rank the KRX Qwen2.5 7B SFT MultiHiertt 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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