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LeTriomphant2.2 ECE ILAB by Baptiste-HUVELLE-10

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LeTriomphant2.2 ECE ILAB is an open-source language model by Baptiste-HUVELLE-10. Features: 72.7b LLM, VRAM: 206.2GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.3.

  Merged Model   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB 

LeTriomphant2.2 ECE ILAB Benchmarks

MMLU Pro: 53.9
GPQA: 19.91
MUSR: 17.15
BBH: 61.61
IFEval: 50.76 vs 88 (so35)-42.3%
MATH Lvl 5: 44.49
LLME Score: 0.29533
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LeTriomphant2.2 ECE ILAB (Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB)
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LeTriomphant2.2 ECE ILAB Parameters and Internals

LLM NameLeTriomphant2.2 ECE ILAB
Repository 🤗https://huggingface.co/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB 
Merged ModelYes
Model Size72.7b
Required VRAM206.2 GB
Updated2025-09-01
MaintainerBaptiste-HUVELLE-10
Model Typeqwen2
Model Files  5.0 GB: 1-of-63   4.1 GB: 2-of-63   4.5 GB: 3-of-63   4.5 GB: 4-of-63   4.8 GB: 5-of-63   4.8 GB: 6-of-63   4.5 GB: 7-of-63   4.8 GB: 8-of-63   4.8 GB: 9-of-63   4.5 GB: 10-of-63   4.8 GB: 11-of-63   4.8 GB: 12-of-63   4.5 GB: 13-of-63   4.8 GB: 14-of-63   4.8 GB: 15-of-63   4.5 GB: 16-of-63   4.8 GB: 17-of-63   4.8 GB: 18-of-63   4.5 GB: 19-of-63   4.8 GB: 20-of-63   4.8 GB: 21-of-63   4.5 GB: 22-of-63   4.8 GB: 23-of-63   4.8 GB: 24-of-63   4.5 GB: 25-of-63   4.8 GB: 26-of-63   4.8 GB: 27-of-63   4.5 GB: 28-of-63   4.8 GB: 29-of-63   4.8 GB: 30-of-63   4.5 GB: 31-of-63   4.8 GB: 32-of-63   4.8 GB: 33-of-63   4.5 GB: 34-of-63   4.8 GB: 35-of-63   4.8 GB: 36-of-63   4.5 GB: 37-of-63   4.8 GB: 38-of-63   4.8 GB: 39-of-63   4.5 GB: 40-of-63   4.8 GB: 41-of-63   4.8 GB: 42-of-63   4.5 GB: 43-of-63   4.8 GB: 44-of-63
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.1
Vocabulary Size152064
Torch Data Typefloat32

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Rank the LeTriomphant2.2 ECE ILAB 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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