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Barcenas 9B by Danielbrdz

 »  All LLMs  »  Danielbrdz  »  Barcenas 9B   URL Share it on

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  Autotrain compatible   Conversational   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Danielbrdz/Barcenas-9b 

Barcenas 9B Benchmarks

LLME Score: 0.18645
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barcenas 9B (Danielbrdz/Barcenas-9b)

Barcenas 9B Parameters and Internals

Model Type 
natural language processing, conversational AI
Use Cases 
Areas:
virtual assistants, content generation, sentiment analysis, machine translation
Applications:
customer service systems, personal assistant systems, creating articles and blogs, market research, social media analysis
Additional Notes 
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
Supported Languages 
en (proficient)
Training Details 
Data Sources:
yahma/alpaca-cleaned
Methodology:
fine-tuning with data from yahma/alpaca-cleaned
LLM NameBarcenas 9B
Repository 🤗https://huggingface.co/Danielbrdz/Barcenas-9b 
Model Size9b
Required VRAM17.7 GB
Updated2025-02-22
MaintainerDanielbrdz
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.8 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-9b.

Rank the Barcenas 9B 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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