Barcenas 2.7B by Danielbrdz

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  Autotrain compatible   Custom code   En   Endpoints compatible   Phi-msft   Pytorch   Region:us

Barcenas 2.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barcenas 2.7B (Danielbrdz/Barcenas-2.7b)

Barcenas 2.7B Parameters and Internals

Model Type 
small language model (SLM)
Use Cases 
Areas:
research, commercial applications, education, general communication
Applications:
question answering, code generation, natural chat
Additional Notes 
Barcenas 2.7b incorporates features from the phi-2-NaturalChat model, which is fine-tuned for natural and engaging chat conversations based on GPT-4.
Supported Languages 
en (full)
LLM NameBarcenas 2.7B
Repository ๐Ÿค—https://huggingface.co/Danielbrdz/Barcenas-2.7b 
Model Size2.7b
Required VRAM5.6 GB
Updated2025-02-22
MaintainerDanielbrdz
Model Typephi-msft
Model Files  5.6 GB
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licenseother
Model Max Length2048
Transformers Version4.35.0.dev0
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-2.7b.

Rank the Barcenas 2.7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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