Qwen1.5 1.8B 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 1.8B Chat AWQ Benchmarks

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Qwen1.5 1.8B 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 1.8B Chat AWQ
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat-AWQ 
Base Model(s)  deltawi/Qwen-1.5-1.8B-SQL   deltawi/Qwen-1.5-1.8B-SQL
Model Size1.8b
Required VRAM1.9 GB
Updated2024-12-02
MaintainerQwen
Model Typeqwen2
Model Files  1.9 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
Qwen1.5 1.8B Chat AWQ (Qwen/Qwen1.5-1.8B-Chat-AWQ)

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Qwen1.5 1.8B AWQ W4 G12832K / 1.9 GB60
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Qwen1.5 Wukong 1.8B32K / 3.7 GB84
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-1.8B-Chat-AWQ.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124