Qwen2.5 0.5B Educational Instruct Selec 4000 Pythonblock En Ja by Hachipo

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Qwen2.5 0.5B Educational Instruct Selec 4000 Pythonblock En Ja is an open-source language model by Hachipo. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sft   Trl

Qwen2.5 0.5B Educational Instruct Selec 4000 Pythonblock En Ja 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 Educational Instruct Selec 4000 Pythonblock En Ja (Hachipo/qwen2.5-0.5B_educational_instruct_selec_4000_pythonblock_en_ja)
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Qwen2.5 0.5B Educational Instruct Selec 4000 Pythonblock En Ja Parameters and Internals

LLM NameQwen2.5 0.5B Educational Instruct Selec 4000 Pythonblock En Ja
Repository ๐Ÿค—https://huggingface.co/Hachipo/qwen2.5-0.5B_educational_instruct_selec_4000_pythonblock_en_ja 
Model Size0.5b
Required VRAM2 GB
Updated2025-12-20
MaintainerHachipo
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.47.1
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 Hachipo/qwen2.5-0.5B_educational_instruct_selec_4000_pythonblock_en_ja.

Rank the Qwen2.5 0.5B Educational Instruct Selec 4000 Pythonblock En Ja 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