Energy impact of LLM quantization, calibrated to measured GPU data. Every answer states its basis.
Scored across 4 tools
The four tools have mostly distinct purposes: estimating energy impact, retrieving a crossover threshold, reporting data coverage, and searching measured anchors. There is some potential confusion between estimate_quantization_energy and get_quantization_crossover when answering a yes/no question about whether quantization saves energy, but the descriptions make the distinction clear.
All tool names follow a consistent snake_case verb_noun pattern: estimate_*, get_*, list_*, search_*. The naming is predictable and readable across the set.
Four tools is well-scoped for a focused estimator service. Each tool earns its place by covering a distinct workflow: estimation, threshold lookup, coverage inspection, and raw evidence search.
The surface covers the core lifecycle for this read-only estimation domain: produce an estimate, find the crossover threshold, inspect data coverage, and search the underlying measured evidence. No obvious operation is missing for the stated purpose.
Estimate the task-level energy change (ΔE% vs FP16) of weight-only quantization (NF4 or INT8) for a model of a given size on a GPU architecture class, from measured-anchored curves. The answer carries basis (measured/interpolated/estimated), confidence and evidence boundaries.
Inputs: q, ctx, arch, batch, +2 more.
Get the model-size crossover for NF4/INT8 per architecture: below it quantization costs energy, above it saves. Crossovers belong to a card + software stack, not an architecture — the answer says so.
Inputs: arch.
List what is actually measured (GPU architecture × precision × size range, NVML direct), what is borrowed/estimated, and where the gaps are. Use this before trusting an estimate at the edges of coverage, and to answer 'is there data for my GPU?' honestly.
Inputs: no named parameters.
Search the measured anchors by model name, GPU name, architecture or size. Returns ΔE% vs FP16 per anchor with run counts — the raw evidence behind the curves.
Inputs: query (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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