will_it_fit

shallow

online.pangle.compute/gpu-rental-market · Verify this server

Will this model fit, and what does a fitting machine cost right now? Deterministic VRAM arithmetic — weights (params x bytes/precision) + KV cache (2 x layers x kv_heads x head_dim x context x batch) + stated overhead — checked against the live book, cheapest fitting offers first. Pass a known model slug (llama-3.1-8b/70b/405b, mistral-7b, mixtral-8x7b, qwen2.5-7b/32b/72b, gemma-2-9b/27b) OR params_b for a stated Llama-like guess. precision: fp16/int8/int4. If you pass tokens_per_s (YOUR measured throughput — we never invent one), each offer gains usd_per_m_tokens. Every approximation is in the assumptions list, not fine print.

100.0/100

1 trials · measured 2 days ago

will_it_fit scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against online.pangle.compute/gpu-rental-market, measured 31 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-31100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: will_it_fit
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will_it_fit — Vouch