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Qwen1.5 4B Chat AWQ by Qwen

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Qwen1.5 4B Chat AWQ is an open-source language model by Qwen. Features: 4b LLM, VRAM: 3.2GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.16, Arc: 47.1, HellaSwag: 69.5, MMLU: 55.3, GSM8K: 1.1.

  Arxiv:2309.16609   4-bit   Awq   Chat   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-4B-Chat-AWQ 

Qwen1.5 4B Chat AWQ Benchmarks

ARC: 47.1 vs 96.7 (so35)-51.3%
HellaSwag: 69.48 vs 95.3 (gpt4)-27.1%
MMLU: 55.28 vs 88.3 (so35)-37.4%
GSM8K: 1.14 vs 96.4 (so35)-98.8%
LLME Score: 0.15878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 4B Chat AWQ (Qwen/Qwen1.5-4B-Chat-AWQ)
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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 🤗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
Updated2026-04-22
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

Best Alternatives to Qwen1.5 4B Chat AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Quyen V0.1 AWQ32K / 3.2 GB121
Qwen1.5 4B Chat32K / 7.9 GB1581346
Qwarkstar 4B Instruct Preview32K / 9 GB72
Qwarkstar 4B32K / 9 GB50
Qwen1.5 4B32K / 7.9 GB1064936
Qwarkstar 4B Instruct32K / 9 GB301
Sailor 4B32K / 7.9 GB846
Nusantara 4B Indo Chat32K / 7.9 GB772
Sailor 4B Chat32K / 7.9 GB382
Quyen V0.132K / 7.9 GB87212
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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