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Springer1.2 32B 2 by marcuscedricridia

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  Merged Model   Arxiv:2406.11617   Autotrain compatible Base model:alexbefest/cardthin... Base model:marcuscedricridia/s...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer1.2-32B-2 

Springer1.2 32B 2 Benchmarks

LLME Score: 0.2542
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Springer1.2 32B 2 (marcuscedricridia/Springer1.2-32B-2)

Springer1.2 32B 2 Parameters and Internals

LLM NameSpringer1.2 32B 2
Repository 🤗https://huggingface.co/marcuscedricridia/Springer1.2-32B-2 
Base Model(s)  CardThinker 32B V3   Springer 32B   AlexBefest/CardThinker-32B-v3   marcuscedricridia/Springer-32B
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-04-30
Maintainermarcuscedricridia
Model Typeqwen2
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/Springer1.2-32B-2.

Rank the Springer1.2 32B 2 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  
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Multi-Language Support and Translation  

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