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Barcenas 3.8B by Danielbrdz

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  Autotrain compatible   Conversational   En   Endpoints compatible   Es   Mistral   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Danielbrdz/Barcenas-3.8b 

Barcenas 3.8B Benchmarks

ARC: 63.48 vs 96.7 (so35)-34.4%
HellaSwag: 77.62 vs 95.3 (gpt4)-18.6%
MMLU: 67.48 vs 88.3 (so35)-23.6%
TruthfulQA: 54.44 vs 59 (gpt4)-7.7%
WinoGrande: 73.8 vs 87.5 (gpt4)-15.7%
GSM8K: 71.34 vs 96.4 (so35)-26%
LLME Score: 0.18012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barcenas 3.8B (Danielbrdz/Barcenas-3.8b)

Barcenas 3.8B Parameters and Internals

Use Cases 
Primary Use Cases:
Spanish conversations
Additional Notes 
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
Supported Languages 
es (fluent), en (fluent)
Training Details 
Data Sources:
pinzhenchen/alpaca-cleaned-es
LLM NameBarcenas 3.8B
Repository 🤗https://huggingface.co/Danielbrdz/Barcenas-3.8b 
Model Size3.8b
Required VRAM7.6 GB
Updated2025-06-01
MaintainerDanielbrdz
Model Typemistral
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languageses en
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Danielbrdz/Barcenas-3.8b.

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Instruction Following and Task Automation  
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Release v20241227
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