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README.md
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[🤗 HF Repo](https://huggingface.co/imsanjoykb/sqlCoder-Qwen2.5-8bit) | [♾️ Colab](https://colab.research.google.com/drive/19e-u32GY2y5lsckNuWhBQExvXgVn8ZjG?usp=sharing)
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Introducing the latest fine-tuned version of Qwen2.5-Coder-14B-Instruct, specifically tailored for SQL code generation. Built on the robust 14-billion parameter Qwen2.5-Coder architecture, this model leverages advanced configurations like bfloat16 precision and a custom quantization setup, optimized for efficient 4-bit computation. With a maximum context window of 32K tokens, this model supports extensive SQL sequences and complex query generation without compromising accuracy or performance.
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# Uploaded model
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- **Developed by:** [Sanjoy Biswas](https://www.linkedin.com/in/imsanjoykb/)
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- **License:** apache-2.0
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-Coder-32B-Instruct
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new_version: imsanjoykb/sqlCoder-Qwen2.5-8bit
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pipeline_tag: text-classification
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library_name: adapter-transformers
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tags:
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- unsloth,
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- pytorch,
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- inference-endpoint,
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---
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[🤗 HF Repo](https://huggingface.co/imsanjoykb/sqlCoder-Qwen2.5-8bit) | [♾️ Colab](https://colab.research.google.com/drive/19e-u32GY2y5lsckNuWhBQExvXgVn8ZjG?usp=sharing)
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Introducing the latest fine-tuned version of Qwen2.5-Coder-14B-Instruct, specifically tailored for SQL code generation. Built on the robust 14-billion parameter Qwen2.5-Coder architecture, this model leverages advanced configurations like bfloat16 precision and a custom quantization setup, optimized for efficient 4-bit computation. With a maximum context window of 32K tokens, this model supports extensive SQL sequences and complex query generation without compromising accuracy or performance.
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# Uploaded model
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- **Developed by:** [Sanjoy Biswas](https://www.linkedin.com/in/imsanjoykb/)
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- **License:** apache-2.0
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