MOM is a fine-tuned Qwen3-14B model trained on marketing Q&A pairs covering the full spectrum of modern marketing — from brand strategy and positioning to paid media, SEO, analytics, and team management. Built by The AI CMO.

Just run: ollama run hf.co/theaicmo/MOM

Highlights

Base model: Qwen3-14B (4-bit QLoRA via Unsloth)
Training data: Curated marketing instruction pairs generated from authoritative marketing sources
16 marketing domains covered in depth
Format: GGUF Q4_K_M — runs locally via Ollama, llama.cpp, LM Studio
License: MIT — fully open, commercial use welcome

Quick Start

bash

# Run with Ollama
ollama run hf.co/theaicmo/MOM

Or download the GGUF file and load it in llama.cpp, LM Studio, or any GGUF-compatible runtime.

Example Prompts

What frameworks should I use to position a B2B SaaS product in a crowded market?

How do I structure a marketing budget for a Series A startup with $2M annual spend?

What KPIs should I track for a content marketing program and how do I tie them to revenue?

How should I organize a marketing team of 15 people across brand, growth, and product marketing?

Training Details

Method: QLoRA 4-bit fine-tuning with Unsloth
LoRA rank: 32 | Alpha: 32 | Dropout: 0
Target modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
Epochs: 3 | Batch size: 8 (2 × 4 grad accum) | LR: 2e-4 (cosine schedule)
Quantization: GGUF Q4_K_M via llama.cpp

About The AI CMO

The AI CMO builds AI-powered tools for marketing leaders. MOM is our first open model — designed to give every marketer access to CMO-level strategic thinking.

License

MIT — use it however you want, commercially or otherwise.

Citation

bibtex

@misc{mom2026,
  title={MOM: Marketing Open Model},
  author={The AI CMO},
  year={2026},
  url={https://huggingface.co/theaicmo/MOM}
}