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Qwen2.5 0.5B Instruct Abliterated Ru by 123yaroslav

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Qwen2.5 0.5B Instruct Abliterated Ru is an open-source language model by 123yaroslav. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.29.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru 

Qwen2.5 0.5B Instruct Abliterated Ru Benchmarks

LLME Score: 0.28934
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B Instruct Abliterated Ru (123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru)
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Qwen2.5 0.5B Instruct Abliterated Ru Parameters and Internals

LLM NameQwen2.5 0.5B Instruct Abliterated Ru
Repository 🤗https://huggingface.co/123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru 
Model Size0.5b
Required VRAM2 GB
Updated2026-04-29
Maintainer123yaroslav
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.53.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than 123yaroslav/Qwen2.5-0.5B-Instruct-abliterated-ru.

Rank the Qwen2.5 0.5B Instruct Abliterated Ru 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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