LocoTrainer-4B: MS-SWIFT Domain Expert Agent

LocoTrainer-4B, developed by LocoreMind, is a 4-billion parameter language model specifically designed as a domain expert agent for the MS-SWIFT framework. Unlike general-purpose code agents, this model is trained via knowledge distillation from Qwen3-Coder-Next, focusing on multi-turn tool-calling and deep understanding of MS-SWIFT.

Key Capabilities

• MS-SWIFT Domain Expertise: Accurately answers framework questions, trained on documentation, CLI parameters, and project structures.
• Tool-Calling Agent: Generates structured JSON for Read, Grep, Glob, Bash, and Write tools to interact with codebases.
• End-to-End Reports: Capable of generating complete, well-structured markdown analysis reports from a single query.
• Long Context: Supports a maximum sequence length of 32,768 tokens, covering a significant portion of long-context analysis scenarios.
• Local Deployment: A GGUF quantized version is available for efficient, zero API cost inference.

Good For

• Developers working with the MS-SWIFT framework who need an intelligent agent for codebase analysis.
• Automating the generation of detailed markdown reports on MS-SWIFT project structures and configurations.
• Scenarios requiring an agent that can perform multi-turn tool interactions (Read, Grep, Glob, Bash, Write) within a specific code domain.
• Users seeking a specialized, locally deployable code analysis tool with a substantial context window.

LocoTrainer-4B is designed to run within the LocoTrainer agent framework, which manages the full agent loop, including tool execution and report generation. While highly specialized for MS-SWIFT, its performance on unrelated codebases is untested, and complex multi-hop reasoning might benefit from larger models.