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T3Q Qwen2.5 14B V1.0 E3 by JungZoona

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Chat   Conversational   En   Endpoints compatible   Instruct   Ko   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JungZoona/T3Q-qwen2.5-14b-v1.0-e3 

T3Q Qwen2.5 14B V1.0 E3 Benchmarks

MMLU Pro: 54.27
GPQA: 22.26
MUSR: 38.69
BBH: 65.47
IFEval: 73.24 vs 88 (so35)-16.8%
MATH Lvl 5: 28.63
LLME Score: 0.44397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T3Q Qwen2.5 14B V1.0 E3 (JungZoona/T3Q-qwen2.5-14b-v1.0-e3)

T3Q Qwen2.5 14B V1.0 E3 Parameters and Internals

LLM NameT3Q Qwen2.5 14B V1.0 E3
Repository 🤗https://huggingface.co/JungZoona/T3Q-qwen2.5-14b-v1.0-e3 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct-1M   Qwen/Qwen2.5-14B-Instruct-1M
Model Size14b
Required VRAM29.7 GB
Updated2025-04-28
MaintainerJungZoona
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 Languagesen ko
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.49.0
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 JungZoona/T3Q-qwen2.5-14b-v1.0-e3.

Rank the T3Q Qwen2.5 14B V1.0 E3 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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