Hardware-optimized model recommendations powered by Gemini AI. Free, fast, and accurate — with install commands ready to copy.
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System RAM
Use Cases
Top Match
Qwen2.5-Coder 7B
7B · 5GB VRAM · ~42 tok/s
10,000+
Optimizations Run
20+
AI Models Tracked
50+
GPUs Supported
100%
Free Forever
Everything you need to run local AI confidently
Stop guessing which model fits your hardware. ModelOpt does the math so you can get running in minutes.
Hardware Analysis
Matches models to your exact GPU, VRAM, and RAM configuration. No more guessing if a model will fit — we calculate it precisely.
Gemini Reasoning
Gemini AI explains WHY each model fits your profile. Transparent, human-readable reasoning for every recommendation.
Speed vs Quality
Tune outputs for latency-sensitive or quality-first workflows with a single slider. Five calibrated preset points.
Ready to Install
Get Ollama, llama.cpp, and HuggingFace install commands ready to copy. One click and you're running your model.
From specs to running model in three steps
Enter Your Hardware
Select your GPU, system RAM, use cases (coding, chat, research), and speed preference. Takes under 60 seconds.
Gemini AI Analyzes & Ranks
Our pipeline filters compatible models by hardware constraints, then Gemini ranks and explains the top candidates.
Get Install Commands
Copy-ready commands for Ollama, llama.cpp, and HuggingFace. Share your results or export to PDF.
What builders are saying
“Helped me pick a coding model that actually runs on my 12GB GPU. Would have wasted hours trial-and-error without this.”
“The speed-vs-quality slider is exactly what our research team needed. We run Qwen now with 2x the throughput.”
“Install tabs save so much time. No more searching model IDs manually on HuggingFace. Just copy and go.”