zimamedia/zenith-v0.1-q4_k_m

Zenith v0.1 — CMO Ready Agent (GGUF) by Zima Media

• Developed by: Zima Media
• License: apache-2.0
• Finetuned from model: unsloth/gemma-4-E2B-it

What is Zenith?

Zenith v0.1 is a CMO Ready Agent powered by the expertise of Mike Zima, Chief Marketing Officer at Zima Media.

This model captures Mike's deep knowledge across:

• Marketing strategy & planning — go-to-market, brand positioning, campaign architecture
• Sales prospecting & lead generation — B2B outreach, CRM workflows, data-driven acquisition
• Content marketing & storytelling — narrative frameworks, thought leadership, audience engagement
• Agency operations & client management — scaling services, team leadership, client success

Zenith is designed as a private AI tool for CMOs and growth leaders to safely test marketing ideas, strategy frameworks, and messaging without exposing sensitive data or relying on third-party models.

Why This Matters

Marketing is not broken. Your system is.

Most agencies sell channel execution. They don't build the systems that drive revenue. Zenith is built on a different philosophy — one system, one strategy, one outcome: profitable growth. No silos. No fragmentation. No channel-first thinking.

This is a CMO Ready Agent for leaders who want to:

• Test new marketing ideas privately before committing budget
• Validate strategy frameworks with an AI trained on real-world expertise
• Move faster without exposing sensitive data to external APIs
• Think bigger with a thinking partner that understands growth at scale

Training Data Breakdown

Zenith v0.1 was trained on a highly curated selection representing just 1% of our total available data — carefully chosen to capture the highest-signal content across Mike Zima's professional expertise. The remaining 99% was excluded to ensure quality, relevance, and a focused knowledge base.

The training corpus draws from the following sources:

Source	Percentage of Training Data
LinkedIn posts & articles	30%
Blog content & website copy	25%
Internal strategy documents & playbooks	20%
Presentations & slide decks	15%
Video content (recordings, talks)	10%

Expertise Areas Covered

The model was fine-tuned on Mike Zima's deep knowledge across:

• Marketing strategy & planning — go-to-market frameworks, brand positioning, campaign architecture, budget allocation
• Sales prospecting & lead generation — B2B outreach strategies, CRM workflows, data-driven acquisition, list building
• Content marketing & storytelling — narrative frameworks, thought leadership, audience engagement, SEO content strategy
• Agency operations & client management — scaling services, team leadership, client success frameworks, pricing models
• Growth marketing & performance — paid media strategy, conversion optimization, analytics-driven decision making
• Brand development — brand identity, messaging architecture, competitive differentiation

DIY Installation Guide (macOS & Linux)

Getting Zenith up and running locally is straightforward. Here's how to install it for the first time:

Step 1: Download LM Studio

The easiest way to run Zenith locally is by using LM Studio. It provides a clean, private interface for chatting with AI without needing complex technical setup.

• Visit LM Studio and download the installer for your operating system (macOS or Linux).
• Install and launch the application.

Step 2: Search and Download Zenith

Inside LM Studio, you can pull the model weights directly from the cloud:

• Open the Search tab (magnifying glass icon).
• Type zimamedia/zenith-v0.1-GGUF into the search bar.
• Find the model in the list and click Download next to the zenith-v0.1-Q4_K_M.gguf file.

Step 3: Load & Run the Model

Once the download is complete:

• Go to the AI Chat tab (speech bubble icon).
• At the top of the screen, select the Zenith model from the dropdown menu.
• Critical Pro Tip: On the right-hand sidebar under Hardware Settings, ensure GPU Offload is set to Max. This will use your Mac's GPU cores for blazing-fast responses.

That's it. You now have a private, local CMO Ready Agent running on your machine.

Credits

• This model was originally trained using Unsloth and Hugging Face's TRL library.
• Quantized into GGUF format for universal compatibility.
• Built with ❤️ by Zima Media — The Revenue Engine for eCommerce Leaders.