Models grow 3x every year. Your GPU stays the same.
Compress Any LLM to Fit Your Hardware
AI picks the optimal recipe. Pruning, quantization, and MoE surgery in one pipeline.
MoE detected (384 experts, top-32)Pruning experts: 384 → 96Done! 2,080 GB → 145 GB (14.3x)88.4% quality | 6.2 tok/sCapabilities
Three Engines, One Command
MoE Expert Surgery
Cut inactive experts from MoE models. First production tool — zero competitors.
Quantization
GGUF Q2 through Q8. One command. Any model. Ready for Ollama.
AI Route Selector
AI analyzes your model + hardware, picks the optimal compression recipe.
Free Tool
What can you run on your hardware?
Select your hardware and task. See which models fit.
RAM
Task
0 models
No models fit 16 GB for this task.
Proof
Real Compression Results
8 model families supported, covering 95% of local LLM usage
2,080GB
Raw
145GB
Smelted
14.3x
quality-report.json
InputKimi K2.5 (1T params)
ArchitectureMoE (384 experts)
Original2,080 GB
Compressed145 GB
Ratio14.3x
Quality88.4% retained
Speed6.2 tok/s (2×H100)
0B
Model frontier
Kimi K2.5 hit 1 trillion.
0GB
GPU ceiling
Consumer VRAM since 2022.
0
Models supported
From 8 countries. All families.
0%
Run uncompressed
Tooling too fragmented.
Stop guessing quant levels — AI decides the best compression path
AI picks the optimal recipe. Pruning, quantization, and MoE surgery in one pipeline.