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Springer 32B RP 3 by marcuscedricridia

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Springer 32B RP 3 is an open-source language model by marcuscedricridia. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2406.11617 Base model:delta-vector/hamana... Base model:marcuscedricridia/s...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Springer-32B-RP-3 

Springer 32B RP 3 Benchmarks

LLME Score: 0.18058
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Springer 32B RP 3 (marcuscedricridia/Springer-32B-RP-3)
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Springer 32B RP 3 Parameters and Internals

LLM NameSpringer 32B RP 3
Repository 🤗https://huggingface.co/marcuscedricridia/Springer-32B-RP-3 
Base Model(s)  Hamanasu Magnum QwQ 32B   Springer 32B   Delta-Vector/Hamanasu-Magnum-QwQ-32B   marcuscedricridia/Springer-32B
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2026-04-17
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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Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB153
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB93
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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB12
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB6703311561
Qwen2.5 32B128K / 65.5 GB162819175
RomboUltima 32B128K / 20.7 GB256
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB6417
Ultiima 32B128K / 65.8 GB187
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB344
Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Springer-32B-RP-3.

Rank the Springer 32B RP 3 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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