EcoCompute Should-I-Quantize Estimator

Connect Remote server

claude mcp add --transport http ecocompute-estimator https://ecocompute-estimator.zhanghongping1982.workers.dev/mcp

{
  "mcpServers": {
    "ecocompute-estimator": {
      "url": "https://ecocompute-estimator.zhanghongping1982.workers.dev/mcp"
    }
  }
}

{
  "servers": {
    "ecocompute-estimator": {
      "type": "http",
      "url": "https://ecocompute-estimator.zhanghongping1982.workers.dev/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://ecocompute-estimator.zhanghongping1982.workers.dev/mcp

Tools 4 found in our last check

• estimate_quantization_energy

  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.

• get_quantization_crossover

  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.

• list_data_coverage

  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.

• search_measurements

  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.

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