Qwen2.5 0.5B Instruct Sft V1 Tr Math Easy by erayalp

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Qwen2.5 0.5B Instruct Sft V1 Tr Math Easy is an open-source language model by erayalp. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational   Curriculum-learning Dataset:erayalp/easy turkish m...   En   Endpoints compatible   Instruct   Math   Qwen2   Region:us   Safetensors   Supervised-fine-tuning   Tr   Turkish

Qwen2.5 0.5B Instruct Sft V1 Tr Math Easy 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 Sft V1 Tr Math Easy Parameters and Internals

LLM NameQwen2.5 0.5B Instruct Sft V1 Tr Math Easy
Repository 🤗https://huggingface.co/erayalp/qwen2.5-0.5b-instruct-sft-v1-tr-math-easy 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM2 GB
Updated2025-05-18
Maintainererayalp
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB   0.0 GB
Supported Languagestr en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.50.3
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 erayalp/qwen2.5-0.5b-instruct-sft-v1-tr-math-easy.

Rank the Qwen2.5 0.5B Instruct Sft V1 Tr Math Easy 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