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.
1 trials · measured 8 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)