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Alpaca Data Ins Max 5200 by godlikehhd

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  Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/godlikehhd/alpaca_data_ins_max_5200 

Alpaca Data Ins Max 5200 Benchmarks

MMLU Pro: 21.28
GPQA: 6.15
MUSR: 6.41
BBH: 17.54
IFEval: 32.75 vs 88 (so35)-62.8%
MATH Lvl 5: 9.97
LLME Score: 0.26045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpaca Data Ins Max 5200 (godlikehhd/alpaca_data_ins_max_5200)
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Alpaca Data Ins Max 5200 Parameters and Internals

LLM NameAlpaca Data Ins Max 5200
Repository 🤗https://huggingface.co/godlikehhd/alpaca_data_ins_max_5200 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-04-05
Maintainergodlikehhd
Model Typeqwen2
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than godlikehhd/alpaca_data_ins_max_5200.

Rank the Alpaca Data Ins Max 5200 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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