OpenR1 Qwen 7B Turkish by WiroAI

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OpenR1 Qwen 7B Turkish is an open-source language model by WiroAI. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational Dataset:wiroai/dolphin-r1-turk...   Deepseek   Endpoints compatible   Generated from trainer   Instruct   Qwen   Qwen2   Reasoning   Region:us   Safetensors   Sft   Sharded   Tensorflow   Thinking   Tr   Trl

OpenR1 Qwen 7B Turkish Benchmarks

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

OpenR1 Qwen 7B Turkish Parameters and Internals

LLM NameOpenR1 Qwen 7B Turkish
Repository 🤗https://huggingface.co/WiroAI/OpenR1-Qwen-7B-Turkish 
Model NameOpenR1-Qwen-7B-Turkish
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-09-23
MaintainerWiroAI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Supported Languagestr
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.50.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Q2.5 Instruct 1M Harmony986K / 15.2 GB42
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Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than WiroAI/OpenR1-Qwen-7B-Turkish.

Rank the OpenR1 Qwen 7B Turkish 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