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Springer 32B Restore 1 by marcuscedricridia

 »  All LLMs  »  marcuscedricridia  »  Springer 32B Restore 1   URL Share it on

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  Merged Model   Arxiv:2406.11617   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-32b   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer-32B-Restore-1 

Springer 32B Restore 1 Benchmarks

LLME Score: 0.2449
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Springer 32B Restore 1 (marcuscedricridia/Springer-32B-Restore-1)

Springer 32B Restore 1 Parameters and Internals

LLM NameSpringer 32B Restore 1
Repository 🤗https://huggingface.co/marcuscedricridia/Springer-32B-Restore-1 
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 VRAM65.8 GB
Updated2025-04-21
Maintainermarcuscedricridia
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   5.0 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 Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
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-Restore-1.

Rank the Springer 32B Restore 1 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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