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Qwen2.5 QwQ 37B Eureka Triple Cubed by DavidAU

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  128k context   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:merge:deepseek-ai/d... Base model:merge:qihoo360/tiny...   Base model:merge:qwen/qwq-32b Base model:qihoo360/tinyr1-32b...   Base model:qwen/qwq-32b   Conversational   Cot   Cubed reasoning   Deephermes   Deepseek   Deepseek-r1-distill   Endpoints compatible   Hermes   Merge   Qwen2   Qwen2.5   Qwq-32b   R1   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Thinking
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen2.5-QwQ-37B-Eureka-Triple-Cubed 

Qwen2.5 QwQ 37B Eureka Triple Cubed Benchmarks

LLME Score: 0.29333
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 QwQ 37B Eureka Triple Cubed (DavidAU/Qwen2.5-QwQ-37B-Eureka-Triple-Cubed)

Qwen2.5 QwQ 37B Eureka Triple Cubed Parameters and Internals

LLM NameQwen2.5 QwQ 37B Eureka Triple Cubed
Repository 🤗https://huggingface.co/DavidAU/Qwen2.5-QwQ-37B-Eureka-Triple-Cubed 
Base Model(s)  QwQ 32B   TinyR1 32B Preview   DeepSeek R1 Distill Qwen 32B   Qwen/QwQ-32B   qihoo360/TinyR1-32B-Preview   deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size32b
Required VRAM73.7 GB
Updated2025-03-21
MaintainerDavidAU
Model Typeqwen2
Model Files  5.0 GB: 1-of-16   5.0 GB: 2-of-16   4.9 GB: 3-of-16   4.9 GB: 4-of-16   4.9 GB: 5-of-16   4.9 GB: 6-of-16   4.9 GB: 7-of-16   4.9 GB: 8-of-16   4.9 GB: 9-of-16   4.9 GB: 10-of-16   4.9 GB: 11-of-16   4.8 GB: 12-of-16   4.8 GB: 13-of-16   4.7 GB: 14-of-16   4.9 GB: 15-of-16   0.4 GB: 16-of-16
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
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 DavidAU/Qwen2.5-QwQ-37B-Eureka-Triple-Cubed.

Rank the Qwen2.5 QwQ 37B Eureka Triple Cubed Capabilities

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Instruction Following and Task Automation  
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