Springer1.1 32B Qwen2.5 RP by marcuscedricridia

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Springer1.1 32B Qwen2.5 RP is an open-source language model by marcuscedricridia. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2403.19522 Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s... Base model:marcuscedricridia/s...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Springer1.1 32B Qwen2.5 RP Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Springer1.1 32B Qwen2.5 RP Parameters and Internals

LLM NameSpringer1.1 32B Qwen2.5 RP
Repository 🤗https://huggingface.co/marcuscedricridia/Springer1.1-32B-Qwen2.5-RP 
Base Model(s)  Springer 32B Restore   Springer 32B RP 3   Springer 32B RP 1   Springer 32B RP 5   Springer 32B RP 7   Springer 32B RP 2   Springer 32B RP 4   marcuscedricridia/Springer-32B-Restore   marcuscedricridia/Springer-32B-RP-3   marcuscedricridia/Springer-32B-RP-1   marcuscedricridia/Springer-32B-RP-5   marcuscedricridia/Springer-32B-RP-7   marcuscedricridia/Springer-32B-RP-2   marcuscedricridia/Springer-32B-RP-4
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2026-04-05
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
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/Springer1.1-32B-Qwen2.5-RP.

Rank the Springer1.1 32B Qwen2.5 RP 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 v20260328a