Rajesh507/ecomm-db-stage2-sft-merged

TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 10, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Rajesh507/ecomm-db-stage2-sft-merged is a Qwen2-based model developed by Rajesh507, fine-tuned from unsloth/qwen2.5-coder-1.5b-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for specific applications related to e-commerce databases, leveraging its Qwen2 foundation for language understanding and generation.

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Model Overview

Rajesh507/ecomm-db-stage2-sft-merged is a specialized Qwen2-based language model developed by Rajesh507. It has been fine-tuned from the unsloth/qwen2.5-coder-1.5b-bnb-4bit base model, indicating a potential focus on coding or structured data interaction, particularly within an e-commerce database context.

Key Training Details

  • Base Model: Fine-tuned from unsloth/qwen2.5-coder-1.5b-bnb-4bit.
  • Training Efficiency: The model's training process was significantly optimized, achieving 2x faster training speeds by utilizing the Unsloth library in conjunction with Huggingface's TRL library.

Potential Use Cases

Given its name and base model, this model is likely optimized for tasks related to:

  • E-commerce Database Interaction: Understanding and generating queries or responses based on e-commerce database schemas.
  • Structured Data Processing: Handling and interpreting structured information relevant to e-commerce operations.
  • Code-related Tasks: Leveraging its coder base for tasks that might involve generating or understanding code snippets pertinent to database management or e-commerce platforms.

Licensing

The model is released under the Apache-2.0 license, allowing for broad use and distribution.