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Qwen 0.5 DPOP 3e 6 2ep 0alp 5lam by JayHyeon

 »  All LLMs  »  JayHyeon  »  Qwen 0.5 DPOP 3e 6 2ep 0alp 5lam   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-DPOP_3e-6-2ep_0alp_5lam 

Qwen 0.5 DPOP 3e 6 2ep 0alp 5lam Benchmarks

MMLU Pro: 5.59
GPQA: 3.91
MUSR: 1.37
BBH: 7.15
IFEval: 23.83 vs 88 (so35)-72.9%
MATH Lvl 5: 0.08
LLME Score: 0.27014
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 DPOP 3e 6 2ep 0alp 5lam (JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam)

Qwen 0.5 DPOP 3e 6 2ep 0alp 5lam Parameters and Internals

LLM NameQwen 0.5 DPOP 3e 6 2ep 0alp 5lam
Repository 🤗https://huggingface.co/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam 
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-DPOP_3e-6-2ep_0alp_5lam.

Rank the Qwen 0.5 DPOP 3e 6 2ep 0alp 5lam 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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