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Ko Qwen2 7B Instruct by spow12

 »  All LLMs  »  spow12  »  Ko Qwen2 7B Instruct   URL Share it on

  2104   
  Arxiv:2309.00071   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ko   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/spow12/Ko-Qwen2-7B-Instruct 

Ko Qwen2 7B Instruct Benchmarks

LLME Score: 0.22214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ko Qwen2 7B Instruct (spow12/Ko-Qwen2-7B-Instruct)

Ko Qwen2 7B Instruct Parameters and Internals

Model Type 
language model, text generation
Use Cases 
Areas:
research, conversational applications
Additional Notes 
Qwen2 model supports processing of long texts using YARN for optimal performance.
Supported Languages 
co (Korean), en (English)
Training Details 
Data Sources:
public and private data, Generated data
Data Volume:
about 50k
Methodology:
Supervised fine-tuning with DeepSpeed and trl for Korean
Context Length:
131072
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention
Input Output 
Input Format:
Tokens up to context length of 131,072
Accepted Modalities:
text
Output Format:
Textual response
LLM NameKo Qwen2 7B Instruct
Repository 🤗https://huggingface.co/spow12/Ko-Qwen2-7B-Instruct 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainerspow12
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
Supported Languagesko en
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than spow12/Ko-Qwen2-7B-Instruct.

Rank the Ko Qwen2 7B Instruct 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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