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Springer 32B by marcuscedricridia

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  Merged Model   Arxiv:2408.07990   Autotrain compatible   Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer-32B 

Springer 32B Benchmarks

LLME Score: 0.24186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Springer 32B (marcuscedricridia/Springer-32B)

Springer 32B Parameters and Internals

LLM NameSpringer 32B
Repository 🤗https://huggingface.co/marcuscedricridia/Springer-32B 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-05-16
Maintainermarcuscedricridia
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Springer-32B.

Rank the Springer 32B 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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