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Replete Qwen 2.5 3B CoT RP by bunnycore

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Replete Qwen 2.5 3B CoT RP is an open-source language model by bunnycore. Features: 3b LLM, VRAM: 6.8GB, Context: 32K, Merged, LLM Explorer Score: 0.16.

  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:bunnycore/qwen-2.5-... Base model:bunnycore/qwen-2.5-...   Conversational   Endpoints compatible   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Replete-Qwen-2.5-3b-CoT-RP 

Replete Qwen 2.5 3B CoT RP Benchmarks

LLME Score: 0.15789
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Replete Qwen 2.5 3B CoT RP (bunnycore/Replete-Qwen-2.5-3b-CoT-RP)
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Replete Qwen 2.5 3B CoT RP Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models using mergekit
Training Details 
Methodology:
Merge using DARE and TIES methods
LLM NameReplete Qwen 2.5 3B CoT RP
Repository 🤗https://huggingface.co/bunnycore/Replete-Qwen-2.5-3b-CoT-RP 
Base Model(s)  bunnycore/Qwen-2.5-3b-RP   Replete-AI/Replete-LLM-V2.5-Qwen-3b   bunnycore/Qwen-2.5-3b-rp-mix-lora   bunnycore/Qwen-2.5-3b-RP   bunnycore/Qwen-2.5-3b-rp-mix-lora   bunnycore/Qwen-2.5-3b-RP   Replete-AI/Replete-LLM-V2.5-Qwen-3b   bunnycore/Qwen-2.5-3b-rp-mix-lora   bunnycore/Qwen-2.5-3b-RP   bunnycore/Qwen-2.5-3b-rp-mix-lora
Merged ModelYes
Model Size3b
Required VRAM6.8 GB
Updated2025-11-03
Maintainerbunnycore
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.8 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Replete-Qwen-2.5-3b-CoT-RP.

Rank the Replete Qwen 2.5 3B CoT 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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