content.raw: Introducing 🎉 OneSQL-v0.1🥳, our first text-to-SQL model based on Qwen2.5-Coder. This model has achieved an EX score of 63.33 on the BIRD leaderboard (
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content.value: Introducing 🎉 OneSQL-v0.1🥳, our first text-to-SQL model based on Qwen2.5-Coder. This model has achieved an EX score of 63.33 on the BIRD leaderboard (
content.href: https://bird-bench.github.io/
content.raw: https://bird-bench.github.io/
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content.raw: ).
content.type: text
content.value: ).
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content.raw: The model family includes 7B and 32B,  
content.type: text
content.value: The model family includes 7B and 32B,  
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content.raw: https://huggingface.co/collections/onekq-ai/onesql-v01-qwen-67d8e3eb1611c5532bb90c5f
content.id: onekq-ai/onesql-v01-qwen-67d8e3eb1611c5532bb90c5f
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content.type: resource
content.url: https://huggingface.co/collections/onekq-ai/onesql-v01-qwen-67d8e3eb1611c5532bb90c5f
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content.raw: and can be also found on Ollama (
content.type: text
content.value: and can be also found on Ollama (
content.href: https://ollama.com/onekq/OneSQL-v0.1-Qwen
content.raw: https://ollama.com/onekq/OneSQL-v0.1-Qwen
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content.raw: )
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content.value: )
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content.raw: My goal is to make OneSQL the most usable open-weights model for text-to-SQL. I'm currently working on best practices to help users use this model the right away and avoid pitfalls. After that, I plan to train the next version to push for a higher EX score.
content.type: text
content.value: My goal is to make OneSQL the most usable open-weights model for text-to-SQL. I'm currently working on best practices to help users use this model the right away and avoid pitfalls. After that, I plan to train the next version to push for a higher EX score.
content.type: new_line
content.type: new_line
content.raw: Enjoy this model and feel free to share comments/questions 🤗
content.type: text
content.value: Enjoy this model and feel free to share comments/questions 🤗
rawContent: Introducing 🎉 OneSQL-v0.1🥳, our first text-to-SQL model based on Qwen2.5-Coder. This model has achieved an EX score of 63.33 on the BIRD leaderboard (https://bird-bench.github.io/).
  
  The model family includes 7B and 32B,  
  https://huggingface.co/collections/onekq-ai/onesql-v01-qwen-67d8e3eb1611c5532bb90c5f
  and can be also found on Ollama (https://ollama.com/onekq/OneSQL-v0.1-Qwen)
  
  My goal is to make OneSQL the most usable open-weights model for text-to-SQL. I'm currently working on best practices to help users use this model the right away and avoid pitfalls. After that, I plan to train the next version to push for a higher EX score.
  
  Enjoy this model and feel free to share comments/questions 🤗
reactions.reaction: 🚀
reactions.users: prithivMLmods victor cfahlgren1 ZennyKenny John6666 bart7449 kooshan dantezxcd
commentators._id: 5f17f0a0925b9863e28ad517
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/5f17f0a0925b9863e28ad517/fXIY5i9RLsIa1v3CCuVtt.jpeg
commentators.fullname: Victor Mustar
commentators.name: victor
commentators.type: user