GGUF quantization of microsoft/MagenticBrain (14B) for use with llama.cpp and compatible runners (Lemonade, LM Studio, Ollama, etc.).

Converted with convert_hf_to_gguf.py (BF16 intermediate) and quantized with llama-quantize from llama.cpp. Standard k-quants, no imatrix calibration.

MagenticBrain is Microsoft Research AI Frontiers' 14B orchestration model, SFT'd from Qwen3-14B on agentic data — function calling (APIGen-MT, ToolACE, xLAM), 250+ synthetic MCP environments, file-system and terminal trajectories, and sub-agent delegation traces (handoffs to Fara1.5-9B) — followed by an RL stage on terminal tasks. It plans multi-step tasks, calls declared tools via structured JSON (never inventing new ones), coordinates sub-agents, and follows a submit-to-terminate protocol.

This is an orchestration-first model, not a general-purpose chat model. It is co-designed with, and most thoroughly evaluated in, Magentic-Lite (Magentic-UI v0.2).

Lemonade / LM Studio / Ollama: register the GGUF file directly or pull this repo through the app's model management.

MIT — same as the base model. All credit to Microsoft Research AI Frontiers. This repo is a community quantization and is not affiliated with or endorsed by Microsoft. See the base model card for full details.