LocoOperator-4B is a 4B-parameter tool-calling agent model trained via knowledge distillation from Qwen3-Coder-Next inference traces. It specializes in multi-turn codebase exploration — reading files, searching code, and navigating project structures within a Claude Code-style agent loop. Designed as a local sub agent, it runs via llama.cpp at zero API cost. — Tool-Calling Agent: Generates structured JSON for Read, Grep, Glob, Bash, Write, Edit, and Task (subagent delegation) — 100% JSON Validity: Every tool call is valid JSON with all required arguments — outperforming the teacher model (87.6%) — Local Deployment: GGUF quantized, runs on Mac Studio via llama.cpp at zero API cost — Lightweight Explorer: 4B parameters, optimized for fast codebase search and navigation — Multi-Turn**: Handles conversation depths of 3–33 messages w The model perfectly learned when to use tools vs. when to respond with text (100% presence alignment). Tool type mismatches are between…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: SimplySara
Теги: gguf, code, agent, tool-calling, distillation, qwen3, llama-cpp, en
Лайков: 3 | Загрузок: 285
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
