Qwen1.5 4B 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 4B Chat AWQ Benchmarks

Qwen1.5 4B Chat AWQ (Qwen/Qwen1.5-4B-Chat-AWQ)

Qwen1.5 4B 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 4B Chat AWQ
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen1.5-4B-Chat-AWQ 
Base Model(s)  Qwen/Qwen1.5-4B-Chat   Qwen/Qwen1.5-4B-Chat
Model Size4b
Required VRAM3.2 GB
Updated2025-02-22
MaintainerQwen
Model Typeqwen2
Model Files  3.2 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/Qwen1.5-4B-Chat-AWQ.

Rank the Qwen1.5 4B Chat AWQ 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