Qwen 2.5 0.5B Instruct Finetune by minhtuan7akp

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Qwen 2.5 0.5B Instruct Finetune is an open-source language model by minhtuan7akp. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Finetuned   Instruct   Qwen2   Region:us   Safetensors   Unsloth

Qwen 2.5 0.5b Instruct Finetune Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen 2.5 0.5B Instruct Finetune Parameters and Internals

LLM NameQwen 2.5 0.5b Instruct Finetune
Repository 🤗https://huggingface.co/minhtuan7akp/qwen_2.5_0.5b_instruct_finetune 
Model Size0.5b
Required VRAM1 GB
Updated2026-06-28
Maintainerminhtuan7akp
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than minhtuan7akp/qwen_2.5_0.5b_instruct_finetune.

Rank the Qwen 2.5 0.5B Instruct Finetune 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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Release v20260328a