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Rombos LLM V2.5.1 Qwen 3B by rombodawg

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Rombos LLM V2.5.1 Qwen 3B is an open-source language model by rombodawg. Features: 3b LLM, VRAM: 6.8GB, Context: 32K, License: other, Merged, LLM Explorer Score: 0.19.

  Merged Model Base model:arcee-ai/raspberry-...   Base model:qwen/qwen2.5-3b Base model:qwen/qwen2.5-3b-ins...   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b 

Rombos LLM V2.5.1 Qwen 3B Benchmarks

LLME Score: 0.19189
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rombos LLM V2.5.1 Qwen 3B (rombodawg/Rombos-LLM-V2.5.1-Qwen-3b)
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Rombos LLM V2.5.1 Qwen 3B Parameters and Internals

LLM NameRombos LLM V2.5.1 Qwen 3B
Repository 🤗https://huggingface.co/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b 
Base Model(s)  Qwen/Qwen2.5-3B   Qwen/Qwen2.5-3B-Instruct   Raspberry 3B   Qwen/Qwen2.5-3B   Qwen/Qwen2.5-3B-Instruct   arcee-ai/raspberry-3B
Merged ModelYes
Model Size3b
Required VRAM6.8 GB
Updated2026-05-16
Maintainerrombodawg
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.8 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than rombodawg/Rombos-LLM-V2.5.1-Qwen-3b.

Rank the Rombos LLM V2.5.1 Qwen 3B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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