| Model profile | ||
|---|---|---|
| Model | Size | Approximate size |
| Laguna M.1Model source: provider262,144 tokens max native context | 225Bactive 23B | 135 GB4-bit quantization |
| Compatible hardware Estimated speeds, not benchmark results: calculated from memory bandwidth and model size. Real results can differ significantly because there is no precise formula for deriving LLM generation speed from hardware specifications alone. | ||||
|---|---|---|---|---|
| Hardware | Memory | Bandwidth | vLLM | Estimated generation |
| M5 Ultra | 256 GBUnified RAM | 1200 GB/s | no | 34 tok/s4-bit quantization |
| DGX H200 | 1128 GBGPU HBM3e | 4800 GB/s | yes | 119 tok/s4-bit quantization |
| DGX Station | 748 GBCoherent Memory | 7100 GB/s | yes | 163 tok/s4-bit quantization |
| ET900N G3 | 748 GBCoherent Memory | 7100 GB/s | yes | 163 tok/s4-bit quantization |
| DGX B200 | 1440 GBGPU HBM3e | 8000 GB/s | yes | 178 tok/s4-bit quantization |
| GB200 NVL72 | 13400 GBGPU HBM3e | 8000 GB/s | yes | 178 tok/s4-bit quantization |
| GB300 NVL72 | 20000 GBGPU HBM3e | 8000 GB/s | yes | 178 tok/s4-bit quantization |
Tests the 225B total parameter Mixture-of-Experts model Laguna M.1 for agentic coding and long-horizon work.
Installs OpenClaw on Windows via openclaw.ai, connects OpenRouter with poolside/laguna-m1:free model, and reviews dashboard plus agent.md, soul.md, identity.md, user.md, heartbeat.md, bootstrap.md fil