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Qwen2 0.5B Instruct MLX by Qwen

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  Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-0.5B-Instruct-MLX 

Qwen2 0.5B Instruct MLX Benchmarks

LLME Score: 0.20469
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Instruct MLX (Qwen/Qwen2-0.5B-Instruct-MLX)

Qwen2 0.5B Instruct MLX Parameters and Internals

Model Type 
text generation, multilingual
Additional Notes 
This is the MLX quantized model of Qwen2-0.5B-Instruct.
Supported Languages 
en (default)
Training Details 
Methodology:
Pretraining with a large amount of data; post-training with supervised finetuning and direct preference optimization.
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, improved tokenizer.
LLM NameQwen2 0.5B Instruct MLX
Repository 🤗https://huggingface.co/Qwen/Qwen2-0.5B-Instruct-MLX 
Model Size0.5b
Required VRAM0.3 GB
Updated2025-02-22
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
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 Qwen/Qwen2-0.5B-Instruct-MLX.

Rank the Qwen2 0.5B Instruct MLX 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
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