constructai/kiro-1.0-7B-XCode

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Feb 28, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

kiro-1.0-7B-XCode by constructai is a 7.6 billion parameter language model fine-tuned on Qwen2.5-Coder-7B, specialized for code generation and analysis. It excels at writing, analyzing, and explaining code in Python and JavaScript, trained on a mixed dataset of real-world code and instruction pairs. With a 32K context length, it is optimized for use in IDE plugins, coding assistants, and code review tools.

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Overview

kiro-1.0-7B-XCode is the inaugural model in the kiro series developed by constructai. This 7.6 billion parameter model is built upon Qwen2.5-Coder-7B and is specifically fine-tuned for code-related tasks, supporting a 32,768 token context length.

Key Capabilities

  • Code Generation: Proficient in generating Python and JavaScript code.
  • Code Analysis: Capable of analyzing and explaining existing code snippets.
  • Instruction Following: Trained to follow ### Instruction → ### Response format, making it suitable for interactive coding tools.

Training Details

The model was trained using QLoRA (4-bit, NF4) on a mixed dataset of approximately 58,000 samples. The dataset included real-world Python and JavaScript code from bigcode/the-stack, alongside Python instruction-response pairs from iamtarun/python_code_instructions_18k_alpaca.

Ideal Use Cases

  • IDE Plugins: Enhancing integrated development environments with AI-powered coding assistance.
  • Coding Assistants: Providing intelligent suggestions and code completion.
  • Code Review Tools: Aiding in the review process by analyzing code quality and identifying potential issues.

Limitations

As a v1.0 release, the model was trained for a single epoch, which may lead to repetitions in longer outputs (mitigated with repetition_penalty). While optimized for Python and JavaScript, its support for other programming languages is currently limited.