org.marvinlabs/vram-fit · v0.1.0 · other
MarvinLabs vram_fit is healthy: it completed an MCP handshake in 739 ms and exposes 3 tools.
Will a QLoRA fine-tune of gemma-3-4b-it fit your GPU? Verdicts from measured AMD and NVIDIA probes.
Endpoint: https://marvinlabs.org/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 3 |
| Latency | 739 ms |
| Last checked (UTC) | 2026-10-25T23:55:14.218Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-25T23:55:14.218Z | Healthy | 739 |
vram_fit | Will this LoRA config train on a card with vram_gb GB? Returns verdict fits / tight / does_not_fit, the predicted peak in MB, the margin, how each part was derived, and any measured probe with the same settings. |
vram_max_rank | Largest LoRA rank (multiple of 8) that fits with margin on a card with vram_gb GB, and the largest that is tight (a real run may fit, the one-step probe would not). |
vram_probes | The raw measured probe rows (RX 7900 XTX and RTX 3060 Ti), filtered by any of the given settings. gpu matches part of the card name, e.g. '7900' or '3060'. |