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Minirewrite by kevin009

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl

Minirewrite Benchmarks

LLME Score: 0.21669
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Minirewrite Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Areas:
Editor Assistant for revision and paraphrasing
Primary Use Cases:
Avoids technical jargon, Favors clear and accessible language
Limitations:
May produce shorter outputs, Potential biases
Additional Notes 
Fine-tuned to address limitations in writing tasks observed in other models. Personalized for everyday use cases. Motivation for development was to create a model better suited for writing tasks, as existing models were found lacking in this area.
Training Details 
Data Sources:
kevin009/system-defined-sft-llama3-14k
Data Volume:
14,000 conversations for initial training, 8,000 for further training
Methodology:
Fine-tuned SFT model
Safety Evaluation 
Ethical Considerations:
Model does not have implemented safety measures to prevent generating potentially harmful or offensive content.
Responsible Ai Considerations 
Fairness:
Potential biases from training data should be considered
LLM NameMinirewrite
Repository 🤗https://huggingface.co/kevin009/minirewrite 
Model Size7b
Required VRAM15.8 GB
Updated2024-11-21
Maintainerkevin009
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.0 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Minirewrite (kevin009/minirewrite)

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Note: green Score (e.g. "73.2") means that the model is better than kevin009/minirewrite.

Rank the Minirewrite 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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