Qwen2 1.5B Instruct by unsloth

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Unsloth

Qwen2 1.5B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Instruct (unsloth/Qwen2-1.5B-Instruct)

Qwen2 1.5B Instruct Parameters and Internals

Model Type 
transformers
Additional Notes 
The model can be fine-tuned using Google Colab with Tesla T4 for different versions like Qwen2 7b, Qwen2 0.5b, and Qwen2 1.5b. This finetuning can be done faster and with less memory usage using Unsloth.
LLM NameQwen2 1.5B Instruct
Repository ๐Ÿค—https://huggingface.co/unsloth/Qwen2-1.5B-Instruct 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-18
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-1.5B-Instruct.

Rank the Qwen2 1.5B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227