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Chocolatine 2 14B Instruct V2.0.3 by jpacifico

 »  All LLMs  »  jpacifico  »  Chocolatine 2 14B Instruct V2.0.3   URL Share it on

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  Merged Model   Autotrain compatible   Chocolatine   Conversational Dataset:jpacifico/french-orca-...   Dpo   En   Endpoints compatible   Fr   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 

Chocolatine 2 14B Instruct V2.0.3 Benchmarks

MMLU Pro: 48.6
GPQA: 17.23
MUSR: 19.07
BBH: 50.63
IFEval: 70.37 vs 88 (so35)-20%
MATH Lvl 5: 42.07
LLME Score: 0.40272
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chocolatine 2 14B Instruct V2.0.3 (jpacifico/Chocolatine-2-14B-Instruct-v2.0.3)

Chocolatine 2 14B Instruct V2.0.3 Parameters and Internals

LLM NameChocolatine 2 14B Instruct V2.0.3
Repository 🤗https://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-03-21
Maintainerjpacifico
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesfr en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Chocolatine-2-14B-Instruct-v2.0.3.

Rank the Chocolatine 2 14B Instruct V2.0.3 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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Release v20241227
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