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Q2.5 EvaHumane RP by Triangle104

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  Merged Model   Autotrain compatible Base model:eva-unit-01/eva-qwe... Base model:triangle104/q2.5-hu...   Conversational   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Triangle104/Q2.5-EvaHumane-RP 

Q2.5 EvaHumane RP Benchmarks

MMLU Pro: 37.92
GPQA: 9.17
MUSR: 11.39
BBH: 33.76
IFEval: 36.76 vs 88 (so35)-58.2%
MATH Lvl 5: 29.23
LLME Score: 0.2769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q2.5 EvaHumane RP (Triangle104/Q2.5-EvaHumane-RP)
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Q2.5 EvaHumane RP Parameters and Internals

LLM NameQ2.5 EvaHumane RP
Repository 🤗https://huggingface.co/Triangle104/Q2.5-EvaHumane-RP 
Base Model(s)  Triangle104/Q2.5-Humane-RP   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   Triangle104/Q2.5-Humane-RP   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-09-23
MaintainerTriangle104
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Triangle104/Q2.5-EvaHumane-RP.

Rank the Q2.5 EvaHumane RP 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  
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Multi-Language Support and Translation  

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