| | --- |
| | license: mit |
| | language: |
| | - en |
| | tags: |
| | - marketing |
| | - cmo |
| | - gguf |
| | - qwen3 |
| | - unsloth |
| | - lora |
| | - fine-tuned |
| | base_model: Qwen/Qwen3-14B |
| | model_name: MOM - Marketing Open Model |
| | pipeline_tag: text-generation |
| | library_name: llama-cpp |
| | quantized_by: unsloth |
| | --- |
| | |
| | # MOM — Marketing Open Model |
| |
|
| | **The open-source LLM purpose-built for marketing professionals.** |
| |
|
| | 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](https://theaicmo.com). |
| |
|
| | 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](https://theaicmo.com) 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} |
| | } |
| | ``` |
| | |
