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Qwen2.5 7B R1 Bespoke Stock by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:bespokelabs/bespoke... Base model:bunnycore/qwen2.5-7... Base model:deepseek-ai/deepsee... Base model:huihui-ai/qwen2.5-7...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock 

Qwen2.5 7B R1 Bespoke Stock Benchmarks

MMLU Pro: 27.46
GPQA: 3.8
MUSR: 6.98
BBH: 26.64
IFEval: 37.26 vs 88 (so35)-57.7%
MATH Lvl 5: 20.47
LLME Score: 0.25701
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B R1 Bespoke Stock (bunnycore/Qwen2.5-7B-R1-Bespoke-Stock)
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Qwen2.5 7B R1 Bespoke Stock Parameters and Internals

LLM NameQwen2.5 7B R1 Bespoke Stock
Repository 🤗https://huggingface.co/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock 
Base Model(s)  bunnycore/Qwen2.5-7B-R1-Bespoke-Task   huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3   DeepSeek R1 Distill Qwen 7B   Bespoke Stratos 7B   bunnycore/Qwen2.5-7B-R1-Bespoke-Task   huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3   deepseek-ai/DeepSeek-R1-Distill-Qwen-7B   bespokelabs/Bespoke-Stratos-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-09-17
Maintainerbunnycore
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151665
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-R1-Bespoke-Stock.

Rank the Qwen2.5 7B R1 Bespoke Stock 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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