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Chocolatine 3B Instruct DPO V1.0 by jpacifico

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Chocolatine 3B Instruct DPO V1.0 is an open-source language model by jpacifico. Features: 3b LLM, VRAM: 7.7GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

  Conversational   Custom code   En   Endpoints compatible   Fr   French   Instruct   Phi-3   Phi-3-3b   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0 

Chocolatine 3B Instruct DPO V1.0 Benchmarks

MMLU Pro: 32.63
GPQA: 8.72
MUSR: 19.47
BBH: 36.55
IFEval: 37.37 vs 88 (so35)-57.5%
MATH Lvl 5: 17.82
LLME Score: 0.21664
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chocolatine 3B Instruct DPO V1.0 (jpacifico/Chocolatine-3B-Instruct-DPO-v1.0)
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Chocolatine 3B Instruct DPO V1.0 Parameters and Internals

Model Type 
LLM, NLP
Use Cases 
Areas:
general model
Limitations:
does not have any moderation mechanisms
Additional Notes 
This model aims to demonstrate the ease of fine-tuning a base 3B model to specialize in a specific language such as French.
Supported Languages 
French (high), English (medium)
Training Details 
Data Sources:
AIffl/french_orca_dpo_pairs
Data Volume:
12k DPO Intel/orca_dpo_pairs translated in French
Methodology:
fine-tuning
Context Length:
4000
LLM NameChocolatine 3B Instruct DPO V1.0
Repository 🤗https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0 
Model Size3b
Required VRAM7.7 GB
Updated2026-04-03
Maintainerjpacifico
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesfr en
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
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 jpacifico/Chocolatine-3B-Instruct-DPO-v1.0.

Rank the Chocolatine 3B Instruct DPO V1.0 Capabilities

🆘 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! 🌟

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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