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Qwen 0.5 IRPO 3e 6 1ep 1alp 0lam by JayHyeon

 »  All LLMs  »  JayHyeon  »  Qwen 0.5 IRPO 3e 6 1ep 1alp 0lam   URL Share it on

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  Arxiv:1910.09700   Endpoints compatible   Feature-extraction   Qwen2   Region:us   Safetensors   Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam 

Qwen 0.5 IRPO 3e 6 1ep 1alp 0lam Benchmarks

MMLU Pro: 6.79
GPQA: 0.11
MUSR: 1.21
BBH: 7.31
IFEval: 23.23 vs 88 (so35)-73.6%
MATH Lvl 5: 0.23
LLME Score: 0.26894
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 0.5 IRPO 3e 6 1ep 1alp 0lam (JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam)

Qwen 0.5 IRPO 3e 6 1ep 1alp 0lam Parameters and Internals

LLM NameQwen 0.5 IRPO 3e 6 1ep 1alp 0lam
Repository 🤗https://huggingface.co/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam 
Model Size494m
Required VRAM2 GB
Updated2025-02-05
MaintainerJayHyeon
Model Typeqwen2
Model Files  2.0 GB
Model ArchitectureQwen2Model
Context Length32768
Model Max Length32768
Transformers Version4.47.1
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/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam.

Rank the Qwen 0.5 IRPO 3e 6 1ep 1alp 0lam 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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