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Qwen2.5 0.5B SFT DPO 1epoch V1 by JayHyeon

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Qwen2.5 0.5B SFT DPO 1epoch V1 is an open-source language model by JayHyeon. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: mit, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Endpoints compatible   Feature-extraction   Qwen2   Region:us   Safetensors   Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1 

Qwen2.5 0.5B SFT DPO 1epoch V1 Benchmarks

MMLU Pro: 3.66
GPQA: 3.02
MUSR: 0.78
BBH: 6.14
IFEval: 20.25 vs 88 (so35)-77%
MATH Lvl 5: 3.63
LLME Score: 0.18837
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B SFT DPO 1epoch V1 (JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1)
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Qwen2.5 0.5B SFT DPO 1epoch V1 Parameters and Internals

LLM NameQwen2.5 0.5B SFT DPO 1epoch V1
Repository 🤗https://huggingface.co/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1 
Model Size0.5b
Required VRAM2 GB
Updated2025-09-23
MaintainerJayHyeon
Model Typeqwen2
Model Files  2.0 GB
Model ArchitectureQwen2Model
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.47.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1.

Rank the Qwen2.5 0.5B SFT DPO 1epoch V1 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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