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Chocolatine 14B Instruct DPO V1.1 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 14B Instruct DPO V1.1 Benchmarks

LLME Score: 0.22689
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 V1.1 Parameters and Internals

Model Type 
LLM, text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
No moderation mechanism
Additional Notes 
Training in French improves English performance.
Supported Languages 
French (Advanced), English (Advanced)
Training Details 
Data Sources:
jpacifico/french-orca-dpo-pairs-revised
Methodology:
DPO fine-tuning
Context Length:
4096
Input Output 
Input Format:
Prompt messages as system and user content.
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use Colab notebook or provided code for optimal performance.
Release Notes 
Version:
1.1
Date:
2024
Notes:
Fine-tuned version surpassing base model and previous Chocolatine version.
LLM NameChocolatine 14B Instruct DPO V1.1
Repository 🤗https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.1 
Model Size14b
Required VRAM28 GB
Updated2024-11-21
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   3.6 GB: 6-of-6
Supported Languagesfr en
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16
Chocolatine 14B Instruct DPO V1.1 (jpacifico/Chocolatine-14B-Instruct-DPO-v1.1)

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Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Chocolatine-14B-Instruct-DPO-v1.1.

Rank the Chocolatine 14B Instruct DPO V1.1 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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Release v20241110
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