Find the best local AI model for your GPU — terminal UI
Project description
fitmyllm
Find the best local AI model for your GPU — full-featured terminal UI.
Install
pip install fitmyllm
Or run without installing:
pipx run fitmyllm
Setup
Get your free API key at fitmyllm.com/?tab=mcp, then:
fitmyllm setup
# Paste your API key (starts with fml_)
Or set it as an environment variable:
export FITMYLLM_API_KEY=fml_your_key_here
Run
fitmyllm
Features
| Screen | Description |
|---|---|
| Find Models | Auto-detect GPU, 11 filters (use case, context, size, family, quant, speed...), 30+ models ranked by score |
| Find GPU | GPU recommendations for any model with budget, speed, vendor, and quant filters |
| Enterprise | 10-tab deployment analysis: overview, risk, checklist, TCO, scaling, SLA, GPU matrix, performance, fine-tuning, architecture |
| Compare | Side-by-side comparison of up to 4 models with all metrics |
| Install | Choose quantization, pick engine (7 supported), install with live progress bar |
| Chat | Talk to models via Ollama with real-time streaming and collapsible thinking blocks |
| Tier List | Models and GPUs ranked S-F with cloud GPU alternatives |
| Benchmarks | Leaderboard sortable by 8 benchmark metrics |
| GPU Prices | Search and compare GPU pricing with vendor filter |
| Command Simulator | Interactive parameter tuning for 7 engines |
| Charts | ASCII score/speed/VRAM bars and quality-vs-speed scatter plot |
Keyboard Shortcuts
| Key | Action |
|---|---|
f |
Toggle filter panel |
g |
Search/change GPU |
Space |
Mark model for comparison |
c |
Compare marked models / Chat |
i |
Install model |
t |
Command simulator |
s |
Save/unsave model |
r |
Show HuggingFace README |
e |
Export results as Markdown |
v |
Show ASCII charts |
Ctrl+S |
Save current filters as defaults |
Ctrl+T |
Toggle thinking blocks in chat |
Esc |
Go back |
q |
Quit |
Supported Engines
Ollama, vLLM, LM Studio, llama.cpp, KoboldCpp, Jan, Docker Model Runner
Offline Mode
API responses are cached in ~/.fitmyllm/cache/ (24h TTL). If you lose internet, the CLI falls back to cached data automatically.
Requirements
- Python 3.10+
- API key from fitmyllm.com
- Ollama (optional, for install/chat features)
Release history Release notifications | RSS feed
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