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Qwen2.5 3B Instruct by unsloth

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  Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational   En   Endpoints compatible   Instruct   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-3B-Instruct 

Qwen2.5 3B Instruct Benchmarks

LLME Score: 0.28062
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Instruct (unsloth/Qwen2.5-3B-Instruct)
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Qwen2.5 3B Instruct Parameters and Internals

Model Type 
Causal Language Models
Additional Notes 
Qwen2.5 series includes improvements in knowledge, instruction following, and multilingual support across 29 languages. It features long-context support up to 128K tokens for generating up to 8K tokens. The architecture utilizes RoPE, SwiGLU, RMSNorm, and tied word embeddings.
Supported Languages 
en (native proficiency), zh (native proficiency), fr (native proficiency), es (native proficiency), pt (native proficiency), de (native proficiency), it (native proficiency), ru (native proficiency), ja (native proficiency), ko (native proficiency), vi (native proficiency), th (native proficiency), ar (native proficiency)
Training Details 
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Accepted Modalities:
text
LLM NameQwen2.5 3B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-3B-Instruct 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2025-07-19
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
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/Qwen2.5-3B-Instruct.

Rank the Qwen2.5 3B Instruct 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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Release v20241124
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