org.marvinlabs/vram-fit
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Publisher-provided title
MarvinLabs vram_fit
Publisher-provided description
Will a QLoRA fine-tune of gemma-3-4b-it fit your GPU? Verdicts from measured AMD and NVIDIA probes.
Summary by lookupd
Predicts whether a QLoRA fine-tune of a 4B model fits a given GPU's VRAM, returning verdicts, peak memory estimates and max LoRA rank.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http vram-fit https://marvinlabs.org/mcp
Codex, remote (streamable-http)
codex mcp add vram-fit --url https://marvinlabs.org/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"vram-fit": {
"url": "https://marvinlabs.org/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (3 tools)
Publisher-provided text
vram_fitWill 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 derivram_max_rankLargest 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 nvram_probesThe 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'.
Details
- Version: 0.1.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 350 ms
- First indexed:
- Last seen in registry:
- Website: https://marvinlabs.org/vram
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