Qwen1.5 7B Chat AWQ by Qwen

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Qwen1.5 7B Chat AWQ is an open-source language model by Qwen. Features: 7b LLM, VRAM: 5.9GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.14, Arc: 50.8, HellaSwag: 74.2, MMLU: 60.7, GSM8K: 27.5.

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

Qwen1.5 7B 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 7B Chat AWQ Parameters and Internals

Model Type 
text-generation, chat
Additional Notes 
Stable support of 32K context length for models of all sizes. No need of 'trust_remote_code'.
Supported Languages 
multilingual ()
Training Details 
Methodology:
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.
Input Output 
Input Format:
tokenized input using the tokenizer
Accepted Modalities:
text
Output Format:
text response generation
Performance Tips:
If you encounter code switching or other undesirable results, use provided hyper-parameters in 'generation_config.json'.
LLM NameQwen1.5 7B Chat AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen1.5-7B-Chat-AWQ 
Base Model(s)  ... Chat Roleplay Chat Lora Small   svjack/Genshin_Impact_Qwen_1_5_Plot_Chat_roleplay_chat_lora_small
Model Size7b
Required VRAM5.9 GB
Updated2026-05-24
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-2   1.9 GB: 2-of-2
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/Qwen1.5-7B-Chat-AWQ.

Rank the Qwen1.5 7B 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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Release v20260328a