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Qwen2 7B Grammar Correction by mzbac

 »  All LLMs  »  mzbac  »  Qwen2 7B Grammar Correction   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mzbac/Qwen2-7B-grammar-correction 

Qwen2 7B Grammar Correction Benchmarks

LLME Score: 0.19149
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Grammar Correction (mzbac/Qwen2-7B-grammar-correction)

Qwen2 7B Grammar Correction Parameters and Internals

Model Type 
grammar correction, text generation
Use Cases 
Areas:
grammar correction, translation, text improvement
Applications:
content creation, editing, language learning
Primary Use Cases:
improving English text quality, correcting grammatical errors
Limitations:
Limited to text inputs, may not handle context well for ambiguous sentences
Considerations:
Ensure input text is clear and provides context for accurate corrections.
Additional Notes 
Pre-trained for grammar correction and translation tasks, focusing on English and Chinese text.
Supported Languages 
English (high), Chinese (high)
Training Details 
Data Sources:
unknown
Data Volume:
unknown
Methodology:
unknown
Context Length:
2048
Training Time:
unknown
Hardware Used:
unknown
Model Architecture:
Causal Language Model
Safety Evaluation 
Methodologies:
unknown
Findings:
unknown
Risk Categories:
unknown
Ethical Considerations:
unknown
Responsible Ai Considerations 
Fairness:
unknown
Transparency:
unknown
Accountability:
unknown
Mitigation Strategies:
unknown
Input Output 
Input Format:
Text with system and user role specification
Accepted Modalities:
text
Output Format:
Corrected or improved text in the same conversation format
Performance Tips:
Use clear and context-rich input for best results. Adjust temperature for diversity in outputs.
LLM NameQwen2 7B Grammar Correction
Repository 🤗https://huggingface.co/mzbac/Qwen2-7B-grammar-correction 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainermzbac
Model Typeqwen2
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   4.6 GB: 3-of-3
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.37.2
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 mzbac/Qwen2-7B-grammar-correction.

Rank the Qwen2 7B Grammar Correction 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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