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Barcenas 14B Phi 3 Medium ORPO by Danielbrdz

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  Autotrain compatible   Conversational Dataset:mlabonne/orpo-dpo-mix-...   En   Endpoints compatible   Mistral   Orpo   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO 

Barcenas 14B Phi 3 Medium ORPO Benchmarks

MMLU Pro: 41.37
GPQA: 10.18
MUSR: 20.53
BBH: 51.03
IFEval: 47.99 vs 88 (so35)-45.5%
MATH Lvl 5: 20.24
LLME Score: 0.32696
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Barcenas 14B Phi 3 Medium ORPO (Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO)

Barcenas 14B Phi 3 Medium ORPO Parameters and Internals

Additional Notes 
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
Supported Languages 
en (fluent)
Training Details 
Data Sources:
mlabonne/orpo-dpo-mix-40k
Methodology:
ORPO
LLM NameBarcenas 14B Phi 3 Medium ORPO
Repository 🤗https://huggingface.co/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO 
Model Size14b
Required VRAM28 GB
Updated2025-02-22
MaintainerDanielbrdz
Model Typemistral
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Release v20241227
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