Qwen1.5 32B 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   Sharded   Tensorflow

Qwen1.5 32B Chat AWQ Benchmarks

Qwen1.5 32B Chat AWQ (Qwen/Qwen1.5-32B-Chat-AWQ)

Qwen1.5 32B 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 32B Chat AWQ
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen1.5-32B-Chat-AWQ 
Base Model(s)  Qwen/Qwen1.5-32B-Chat   Qwen/Qwen1.5-32B-Chat
Model Size32b
Required VRAM21.2 GB
Updated2025-05-14
MaintainerQwen
Model Typeqwen2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   4.6 GB: 4-of-5   1.6 GB: 5-of-5
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227