Qwen1.5 0.5B Chat AWQ by Qwen

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  Arxiv:2309.16609   4-bit   Autotrain compatible   Awq   Chat   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors

Qwen1.5 0.5B Chat AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 0.5B Chat AWQ (Qwen/Qwen1.5-0.5B-Chat-AWQ)
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Qwen1.5 0.5B Chat AWQ Parameters and Internals

Model Type 
transformer-based, decoder-only, language model
Training Details 
Methodology:
pretrained on a large amount of data using both supervised finetuning and direct preference optimization
Context Length:
32000
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention
LLM NameQwen1.5 0.5B Chat AWQ
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat-AWQ 
Base Model(s)  Xenova/Qwen1.5-0.5B-Chat   Xenova/Qwen1.5-0.5B-Chat
Model Size0.5b
Required VRAM0.8 GB
Updated2025-07-31
MaintainerQwen
Model Typeqwen2
Model Files  0.8 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-0.5B-Chat-AWQ.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124