Qwen2.5 0.5B Instruct ITA by ReDiX

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  Autotrain compatible   Axolotl Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:redix/dataforge-cleane... Dataset:redix/everyday-convers...   En   Endpoints compatible   Generated from trainer   Instruct   It   Pytorch   Qwen2   Region:us

Qwen2.5 0.5B Instruct ITA Benchmarks

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 ITA (ReDiX/Qwen2.5-0.5B-Instruct-ITA)

Qwen2.5 0.5B Instruct ITA Parameters and Internals

LLM NameQwen2.5 0.5B Instruct ITA
Repository ๐Ÿค—https://huggingface.co/ReDiX/Qwen2.5-0.5B-Instruct-ITA 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2025-03-14
MaintainerReDiX
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesit en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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

Rank the Qwen2.5 0.5B Instruct ITA 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227