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YOCO by TomPei

 »  All LLMs  »  TomPei  »  YOCO   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TomPei/YOCO 

YOCO Benchmarks

LLME Score: 0.19131
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YOCO (TomPei/YOCO)

YOCO Parameters and Internals

Model Type 
natural language processing
Use Cases 
Areas:
wide range of NLP tasks
Applications:
text classification, sentiment analysis, question answering
Limitations:
biases from training data
Considerations:
Users should be cautious of biases when using the model for sensitive applications.
Additional Notes 
YOCO is a state-of-the-art model trained on a large corpus of text data and fine-tuned for optimal performance.
Responsible Ai Considerations 
Fairness:
Special attention has been given to ensure that YOCO adheres to ethical guidelines in AI development, including fairness.
Transparency:
YOCO's development focused on transparency in AI.
Accountability:
YOCO adheres to ethical guidelines including accountability.
LLM NameYOCO
Repository 🤗https://huggingface.co/TomPei/YOCO 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-02-22
MaintainerTomPei
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32003
Torch Data Typebfloat16

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

Rank the YOCO Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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