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Qwen2.5 1.5B Thinking by justinj92

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Qwen2.5 1.5B Thinking is an open-source language model by justinj92. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2402.03300   Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Co2 eq emissions   Conversational Dataset:microsoft/orca-math-wo...   Deu   Endpoints compatible   Eng   Fra   Generated from trainer   Grpo   Instruct   Ita   Jpn   Kor   Model-index   Por   Qwen2   Region:us   Rus   Safetensors   Spa   Tha   Trl   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/justinj92/Qwen2.5-1.5B-Thinking 

Qwen2.5 1.5B Thinking Benchmarks

LLME Score: 0.17659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Thinking (justinj92/Qwen2.5-1.5B-Thinking)
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Qwen2.5 1.5B Thinking Parameters and Internals

LLM NameQwen2.5 1.5B Thinking
Repository 🤗https://huggingface.co/justinj92/Qwen2.5-1.5B-Thinking 
Model NameQwen2.5-1.5B-Thinking
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM3.1 GB
Updated2026-04-24
Maintainerjustinj92
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB   0.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
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 justinj92/Qwen2.5-1.5B-Thinking.

Rank the Qwen2.5 1.5B Thinking Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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