Add validated t0-beta ONNX export for private review

LICENSE

@@ -0,0 +1,190 @@
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NOTICE

@@ -0,0 +1,11 @@
+T0 (tfc-t0)
+Copyright 2026 The Forecasting Company
+
+This product includes software developed at Datadog (https://www.datadoghq.com/),
+Copyright 2025 Datadog, Inc., licensed under the Apache License 2.0.
+Source: https://github.com/DataDog/toto
+
+This product includes software derived from Chronos-2 by Amazon.com, Inc. or
+its affiliates, Copyright Amazon.com, Inc. All Rights Reserved, licensed under
+the Apache License 2.0.
+Source: https://github.com/amazon-science/chronos-forecasting

README.md

@@ -0,0 +1,47 @@
+---
+license: apache-2.0
+base_model: theforecastingcompany/t0-beta
+pipeline_tag: time-series-forecasting
+tags:
+- onnx
+- time-series
+- forecasting
+---
+# t0-beta-onnx-int8
+
+ONNX export of [t0-beta](https://huggingface.co/theforecastingcompany/t0-beta/tree/9d7a725392678b250be863a93bbf40cae851f716),
+with INT8 weight storage and FP32 calculations. All 21 native
+quantiles are returned, from 0.01 to 0.99; the median is at index 10.
+This saves download size; expanded runtime weights remain FP32.
+Input and output projection weights remain FP32 to protect the extreme quantiles; transformer matrix weights use per-channel INT8.
+
+```text
+target_context float32 [targets, context]
+target_group_ids int32 [targets]
+future_covariate_context float32 [covariates, context]
+future_covariate_future float32 [covariates, horizon]
+future_covariate_group_ids int32 [covariates]
+quantiles float32 [targets, horizon, 21]
+```
+
+Use NaN for missing history. Contexts are left-padded to the 32-step patch grid.
+The compute horizon must be a positive multiple of 32, at most 1024; round up
+and slice for other requested horizons. Native CPU parity covers contexts
+1–8192. The model uses eps=0.01 with a standard-deviation floor.
+
+Rows sharing a group ID attend jointly; distinct groups are independent. Zero covariate rows are supported; their future tensor still specifies the horizon.
+
+The adjacent validation report records numerical drift against unmodified
+PyTorch. It is a numerical check, not a forecast-accuracy benchmark.
+Use ONNX Runtime Web 1.29.0 with the artifact-specific `webgpu-options.js`.
+Browser validation, if run, is recorded separately; native CPU validation
+does not establish GPU compatibility on every device.
+
+Artifact SHA-256: `2c517869aac22518c1e04a35386a739d2656490574a40ea9a31187f4f115ac9b`.
+
+Browser validation: 12 cases passed for this exact artifact (6 fixtures each
+on single-thread WASM and WebGPU), ONNX Runtime Web 1.29.0, Chromium 152,
+Apple Metal 3. All outputs finite and ordered; compared with native CPU
+at rtol=0.001 / atol=0.001. Contexts: 1, 33, 97, 512, 8192; horizons:
+32, 64, 1024. Timings include first-run compilation and are not benchmarks.
+See `browser-validation.json`; this is one device, not universal GPU certification.

browser-validation.json

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+{
+  "runtime": "1.29.0",
+  "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36",
+  "cases": [
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "wasm",
+      "fixture": "t0-beta-grouped-int8-1-32",
+      "elapsedMs": 58.50500000268221,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 8.20159912109375e-05,
+          "maxToleranceRatio": 0.020286323557314235,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "wasm",
+      "fixture": "t0-beta-grouped-int8-33-64",
+      "elapsedMs": 58.99000000208616,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 0.000640869140625,
+          "maxToleranceRatio": 0.06497219190186601,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "wasm",
+      "fixture": "t0-beta-grouped-int8-97-64",
+      "elapsedMs": 349.2449999973178,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 0.00016021728515625,
+          "maxToleranceRatio": 0.023174769628305666,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "wasm",
+      "fixture": "t0-beta-grouped-int8-512-32",
+      "elapsedMs": 201.52499999850988,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 5.7220458984375e-06,
+          "maxToleranceRatio": 0.0006330943486579729,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "wasm",
+      "fixture": "t0-beta-grouped-int8-8192-32",
+      "elapsedMs": 3020.35000000149,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 7.62939453125e-06,
+          "maxToleranceRatio": 0.0003631990719537313,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "wasm",
+      "fixture": "t0-beta-grouped-int8-97-1024",
+      "elapsedMs": 417.48499999940395,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 0.018798828125,
+          "maxToleranceRatio": 0.06803799026519597,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "webgpu",
+      "fixture": "t0-beta-grouped-int8-1-32",
+      "elapsedMs": 520.7750000059605,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 7.2479248046875e-05,
+          "maxToleranceRatio": 0.013105518043884172,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "webgpu",
+      "fixture": "t0-beta-grouped-int8-33-64",
+      "elapsedMs": 81.80000000447035,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 0.0004730224609375,
+          "maxToleranceRatio": 0.06239002829090687,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "webgpu",
+      "fixture": "t0-beta-grouped-int8-97-64",
+      "elapsedMs": 119.81000000238419,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 0.0004730224609375,
+          "maxToleranceRatio": 0.077417356971433,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "webgpu",
+      "fixture": "t0-beta-grouped-int8-512-32",
+      "elapsedMs": 80.18500000238419,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 4.291534423828125e-06,
+          "maxToleranceRatio": 0.0005637737322314375,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "webgpu",
+      "fixture": "t0-beta-grouped-int8-8192-32",
+      "elapsedMs": 115.07500000298023,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 3.814697265625e-06,
+          "maxToleranceRatio": 0.0002154920696763438,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    },
+    {
+      "model": "t0-beta-grouped-int8",
+      "provider": "webgpu",
+      "fixture": "t0-beta-grouped-int8-97-1024",
+      "elapsedMs": 68.96500000357628,
+      "outputs": {
+        "quantiles": {
+          "maxAbs": 0.02587890625,
+          "maxToleranceRatio": 0.1338962555075296,
+          "invalid": 0,
+          "crossings": 0
+        }
+      }
+    }
+  ],
+  "errors": [],
+  "adapter": {
+    "vendor": "apple",
+    "architecture": "metal-3",
+    "device": "",
+    "description": ""
+  },
+  "complete": true,
+  "artifacts": {
+    "t0-beta-grouped-int8": "2c517869aac22518c1e04a35386a739d2656490574a40ea9a31187f4f115ac9b"
+  },
+  "tolerance": {
+    "rtol": 0.001,
+    "atol": 0.001
+  }
+}

config.json

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+{
+  "dropout": 0.1,
+  "dtype": null,
+  "embed_dim": 1024,
+  "group_every_n": 3,
+  "mlp_hidden_dim": 2048,
+  "num_heads": 8,
+  "num_layers": 24,
+  "patch_size": 32,
+  "quantile_levels": [
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+    0.99
+  ],
+  "scaler_eps": 0.01,
+  "scaler_eps_mode": "std_clamp",
+  "scaler_use_arcsinh": true,
+  "base_model": "theforecastingcompany/t0-beta",
+  "base_model_revision": "9d7a725392678b250be863a93bbf40cae851f716",
+  "format": "onnx",
+  "artifact": "t0-beta-grouped-int8.onnx",
+  "sha256": "2c517869aac22518c1e04a35386a739d2656490574a40ea9a31187f4f115ac9b",
+  "download_bytes": 269070420,
+  "weight_precision": "int8-transformer-fp32-input-output",
+  "compute_precision": "float32",
+  "interface": "grouped",
+  "context_length": {
+    "tested_minimum": 1,
+    "tested_maximum": 8192
+  },
+  "prediction_length": {
+    "compute_multiple": 32,
+    "tested_minimum": 32,
+    "tested_maximum": 1024
+  },
+  "supports_known_future_covariates": true
+}

manifest.json

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t0-beta-grouped-int8.validation.json

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+    {
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+      "max_drift_over_spread": 0.043505466338629825
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+    {
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+    },
+    {
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+    {
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+    },
+    {
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+    },
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+    {
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+    {
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+    },
+    {
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+      "series": "gappy-32",
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+      "max_drift_over_spread": 0.010895423175621038
+    },
+    {
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+      "max_drift_over_spread": 0.0028131775387756114
+    },
+    {
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+      "mean_drift_over_spread": 0.0005740690176392163,
+      "max_drift_over_spread": 0.003671567193266078
+    },
+    {
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+      "max_drift_over_spread": 0.006128849547580151
+    },
+    {
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+      "max_drift_over_spread": 0.0069107869632695
+    },
+    {
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+    },
+    {
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+    {
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+    },
+    {
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+    {
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+    },
+    {
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+    },
+    {
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+    },
+    {
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+    },
+    {
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+      "series": "gappy-512",
+      "mean_drift_over_spread": 0.0006139594713483013,
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+    },
+    {
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+    {
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+    {
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+    {
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+    {
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+      "series": "gappy-512",
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+    },
+    {
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+      "max_drift_over_spread": 0.007702333067659893
+    },
+    {
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+    },
+    {
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+      "horizon": 32,
+      "series": "series-56",
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+      "max_drift_over_spread": 0.030576974936731033
+    },
+    {
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+      "horizon": 32,
+      "series": "gappy-8192",
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+      "max_drift_over_spread": 0.0076829738191339335
+    },
+    {
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+    },
+    {
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+    {
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+    },
+    {
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+      "series": "gappy-8192",
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+      "max_drift_over_spread": 0.0070126630179608825
+    },
+    {
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+      "series": "dense-8192",
+      "mean_drift_over_spread": 0.0012784767989685358,
+      "max_drift_over_spread": 0.045464815183988094
+    },
+    {
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+      "horizon": 1024,
+      "series": "series-96",
+      "mean_drift_over_spread": 0.0006698809071282114,
+      "max_drift_over_spread": 0.04901171643429974
+    },
+    {
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+      "horizon": 1024,
+      "series": "series-56",
+      "mean_drift_over_spread": 0.0008672253436411327,
+      "max_drift_over_spread": 0.03785257556361066
+    },
+    {
+      "context": 8192,
+      "horizon": 1024,
+      "series": "gappy-8192",
+      "mean_drift_over_spread": 0.0012014073785998718,
+      "max_drift_over_spread": 0.04806611605062042
+    }
+  ],
+  "passed": true,
+  "failures": []
+}

webgpu-options.js

@@ -0,0 +1,43 @@
+// ONNX Runtime Web 1.29.0 compatibility settings for this artifact.
+export const webgpuOptions = {
+  "graphOptimizationLevel": "basic",
+  "executionProviders": [
+    {
+      "name": "webgpu",
+      "forceCpuNodeNames": [
+        "n5_3",
+        "n5_4",
+        "n5_5",
+        "n5_6",
+        "n5",
+        "n5_2",
+        "node_bitwise_not",
+        "node_bitwise_or",
+        "node_ne",
+        "node_cos",
+        "node_sin",
+        "node_bitwise_not_1",
+        "node_bitwise_not_5",
+        "node_bitwise_and",
+        "node_pow_2",
+        "node_bitwise_not_3",
+        "node_bitwise_not_6",
+        "node_pow_3",
+        "node_bitwise_not_8",
+        "node_pow_1",
+        "node_bitwise_and_1",
+        "node_bitwise_not_7",
+        "node_bitwise_and_7",
+        "node_bitwise_and_2",
+        "node_bitwise_and_8",
+        "node_bitwise_and_3",
+        "node_bitwise_and_4",
+        "node_bitwise_and_5",
+        "node_bitwise_or_2",
+        "node_bitwise_and_6",
+        "node_sinh"
+      ]
+    },
+    "wasm"
+  ]
+};