vamazing/Koa-AI-v2-code-9B

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 5, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Koa AI v2 (vamazing/Koa-AI-v2-code-9B) is a 9 billion parameter instruction-tuned language model built on the Qwen 3.5 9B architecture, developed by vamazing. Optimized for agentic workflows, it excels in complex code synthesis, multi-turn tool interaction, and step-by-step technical reasoning. This model is specifically engineered for lightweight text generation and coding tasks, supporting a native context length of 32,768 tokens.

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Koa AI v2 (Code) Overview

Koa AI v2 is a 9 billion parameter, instruction-tuned language model developed by vamazing, based on the Qwen 3.5 9B architecture. It is specifically engineered for advanced agentic workflows, complex code synthesis, and multi-turn tool interaction. The model is optimized for lightweight text generation and coding tasks, leveraging a native context length of 32,768 tokens, though fine-tuned with a sequence cap of 2,048 tokens.

Key Capabilities

  • Agentic Coding & Execution: Fine-tuned to analyze system states, execute terminal commands, write code, and autonomously debug execution errors through agentic interaction traces.
  • Structured Reasoning: Provides native support for deep logic, architectural planning, and structured chain-of-thought processing.
  • Tool & Function Calling: Generates formatted structured output for executing terminal/bash commands, tool calls, and API integrations.
  • Code Synthesis: Leverages the Qwen 3.5 9B foundation for deep multi-step problem solving across complex multi-file codebases and algorithm challenges.

When to Use This Model

This model is particularly well-suited for applications requiring:

  • Automated code generation and debugging.
  • Agentic systems that interact with terminal environments or APIs.
  • Complex problem-solving in coding contexts.
  • Structured reasoning and architectural planning tasks.