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Springer 32B Coder 4 by marcuscedricridia

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  Merged Model   Arxiv:2406.11617   Autotrain compatible Base model:marcuscedricridia/s...   Base model:zhihui/ctrl-32b   Codegen   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer-32B-Coder-4 

Springer 32B Coder 4 Benchmarks

LLME Score: 0.21921
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Springer 32B Coder 4 (marcuscedricridia/Springer-32B-Coder-4)
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Springer 32B Coder 4 Parameters and Internals

LLM NameSpringer 32B Coder 4
Repository 🤗https://huggingface.co/marcuscedricridia/Springer-32B-Coder-4 
Base Model(s)  Springer 32B Code Base   CTRL 32B   marcuscedricridia/Springer-32B-Code-Base   Zhihui/CTRL-32B
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-09-05
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
Generates CodeYes
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-Coder-4.

Rank the Springer 32B Coder 4 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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