XiYanSQL-QwenCoder-2504#

  • Context Length: 32768

  • Model Name: XiYanSQL-QwenCoder-2504

  • Languages: en, zh

  • Abilities: chat, tools

  • Description: The XiYanSQL-QwenCoder models, as multi-dialect SQL base models, demonstrating robust SQL generation capabilities.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: XGenerationLab/XiYanSQL-QwenCoder-7B-2504

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name XiYanSQL-QwenCoder-2504 --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 32 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 32

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: XGenerationLab/XiYanSQL-QwenCoder-32B-2504

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name XiYanSQL-QwenCoder-2504 --size-in-billions 32 --model-format pytorch --quantization ${quantization}