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Chocolatine 14B Instruct DPO V1.3 by jpacifico

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Chocolatine 14B Instruct DPO V1.3 is an open-source language model by jpacifico. Features: 14b LLM, VRAM: 29.4GB, Context: 16K, License: mit, Instruction-Based, LLM Explorer Score: 0.29.

  Autotrain compatible   Chocolatine   Conversational   Custom code Dataset:jpacifico/french-orca-...   En   Endpoints compatible   Fr   Instruct   Phi3   Phi4   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3 

Chocolatine 14B Instruct DPO V1.3 Benchmarks

MMLU Pro: 48.6
GPQA: 12.19
MUSR: 12.29
BBH: 54.85
IFEval: 70.4 vs 88 (so35)-20%
MATH Lvl 5: 56.19
LLME Score: 0.29179
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chocolatine 14B Instruct DPO V1.3 (jpacifico/Chocolatine-14B-Instruct-DPO-v1.3)
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Chocolatine 14B Instruct DPO V1.3 Parameters and Internals

LLM NameChocolatine 14B Instruct DPO V1.3
Repository 🤗https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3 
Model Size14b
Required VRAM29.4 GB
Updated2025-01-22
Maintainerjpacifico
Model Typephi3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   5.0 GB: 6-of-6
Supported Languagesfr en
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.47.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Chocolatine-14B-Instruct-DPO-v1.3.

Rank the Chocolatine 14B Instruct DPO V1.3 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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