Chocolatine 3B Instruct DPO V1.2 by jpacifico

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  Autotrain compatible   Chocolatine   Conversational   Custom code Dataset:jpacifico/french-orca-...   En   Endpoints compatible   Fr   French   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Chocolatine 3B Instruct DPO V1.2 Benchmarks

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 V1.2 (jpacifico/Chocolatine-3B-Instruct-DPO-v1.2)

Chocolatine 3B Instruct DPO V1.2 Parameters and Internals

Model Type 
LLM
Additional Notes 
Supports 128K context length. No moderation mechanism.
Supported Languages 
French (High proficiency), English (Improved proficiency due to training in French)
Training Details 
Data Sources:
jpacifico/french-orca-dpo-pairs-revised
Methodology:
DPO fine-tuned
Context Length:
128
Input Output 
Input Format:
Prompt structured for chatbot interaction
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Adjust temperature for sampling
LLM NameChocolatine 3B Instruct DPO V1.2
Repository ๐Ÿค—https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2 
Model Size3b
Required VRAM7.7 GB
Updated2024-12-21
Maintainerjpacifico
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesfr en
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.43.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Rank the Chocolatine 3B Instruct DPO V1.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217