Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1

TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1 is a 3.1 billion parameter instruction-tuned causal language model, developed by Smilesjs. This model is fine-tuned from Qwen2.5-Coder-3B-Instruct and optimized for coding tasks, leveraging Unsloth for faster training. It features a 32768 token context length, making it suitable for processing substantial codebases and complex programming instructions.

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Model Overview

The Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1 is a 3.1 billion parameter instruction-tuned model, developed by Smilesjs. It is built upon the Qwen2.5-Coder-3B-Instruct architecture and has been specifically fine-tuned for coding-related applications. A notable aspect of its development is the use of Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.

Key Capabilities

  • Code-centric Instruction Following: Optimized to understand and generate code based on given instructions.
  • Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
  • Extended Context Window: Features a 32768 token context length, allowing for the processing of larger code snippets and more complex programming problems.

Good For

  • Code Generation: Generating programming code in various languages.
  • Code Completion: Assisting developers with completing code segments.
  • Code Explanation: Understanding and explaining existing code structures.
  • Programming Assistance: General tasks requiring an understanding of programming logic and syntax.

Finetunes
3 models