model-memory-fit
shallowio.github.GabrielAllit1/salt19-agent-utility-grid · Verify this server
Can this AI model run on my graphics card? Estimate model memory requirements and check whether a quantized LLM fits available GPU VRAM before loading or local inference. Price: $0.05 via x402. First call may return a structured payment challenge; retry with _x402_payment_signature after payment.
No longer in the registry. The MCP registry stopped listing this server as of 20 Oct 2026. This report card stays available because the measurement was real, but the tool is excluded from search, rankings, and Vouch’s corpus counts. A published behaviour score is never recomputed or removed — it reflects what was measured while the server was listed.
1 trials · measured 57 days ago
model-memory-fit scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.GabrielAllit1/salt19-agent-utility-grid, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/428538cd-f1c5-41c8-89a4-7c97f055e8a6)