Chocolatine 2 14B Instruct V2.0b2 by jpacifico

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  Autotrain compatible   Chocolatine   Conversational Dataset:jpacifico/french-orca-...   En   Endpoints compatible   Fr   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Chocolatine 2 14B Instruct V2.0b2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Chocolatine 2 14B Instruct V2.0b2 Parameters and Internals

LLM NameChocolatine 2 14B Instruct V2.0b2
Repository ๐Ÿค—https://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2 
Model Size14b
Required VRAM29.7 GB
Updated2025-06-09
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
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace
Chocolatine 2 14B Instruct V2.0b2 (jpacifico/Chocolatine-2-14B-Instruct-v2.0b2)

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Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Chocolatine-2-14B-Instruct-v2.0b2.

Rank the Chocolatine 2 14B Instruct V2.0b2 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124