30d • Model Library
MONDAY MODEL DROP — April 20, 2026
Welcome to the first-ever Monday Model Drop. Every Monday, I break down one model worth your attention — with install commands, benchmarks, and a real-world prompt you can copy/paste. No fluff. No hype. Just what works.
THIS WEEK'S MODEL: Llama 3.1 8B (Q4_K_M quantization)
WHAT IT'S FOR: Your first local AI workhorse — general conversation, summarization, document drafting.
WHY IT MATTERS: This model proves you don't need a $3,000 GPU to run serious AI locally. 8B parameters, 4-bit quantized, runs on almost anything with 8GB+ VRAM or a modern Mac.
INSTALL (copy-paste this): ollama pull llama3.1:8b
RUN IT: ollama run llama3.1:8b
TRY THIS PROMPT (copy-paste this):
"You are a financial analyst. Summarize the following quarterly earnings data into a 3-paragraph executive briefing. Focus on revenue trends, margin changes, and one forward-looking risk. Keep it under 250 words."
Then paste in any earnings data, financial report, or even a news article. Watch what happens.
HARDWARE REQUIREMENTS:
Minimum: 8GB VRAM (RTX 3060, 4060) or 16GB unified memory (M1 Pro+)
Recommended: 16GB VRAM or 32GB unified
Speed on RTX 4060 Ti 16GB: ~45 tokens/sec
Speed on M4 Pro 48GB: ~35 tokens/sec
Speed on RTX 3060 12GB: ~28 tokens/sec
ERIC'S TAKE: Llama 3.1 8B is your baseline. If you can only run one model, run this one. It handles 80% of business use cases well enough that you'll question why you were paying for API calls. For complex reasoning, step up to 70B or use a cloud model — but for drafting, summarizing, Q&A, and routine document work, this is the right first move.
The goal this week: pull the model, run the prompt above, and post your results (speed + quality) in the comments. Let's see what your rigs can do.
— Eric
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MONDAY MODEL DROP — April 20, 2026
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