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README.md

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+---
+library_name: mlx
+tags:
+- mlx
+- time-series
+- forecasting
+- toto
+base_model: Datadog/Toto-Open-Base-1.0
+---
+
+# kunal732/Toto-Open-Base-1.0-MLX
+
+This model was converted from [`Datadog/Toto-Open-Base-1.0`](https://huggingface.co/Datadog/Toto-Open-Base-1.0)
+using [MLX-Swift-TS](https://github.com/kunal732/MLX-Swift-TS).
+
+## Use with MLX-Swift-TS
+
+```swift
+import MLXTimeSeries
+
+let forecaster = try await TimeSeriesForecaster.loadFromHub(id: "kunal732/Toto-Open-Base-1.0-MLX")
+let input = TimeSeriesInput.univariate(historicalValues)
+let prediction = forecaster.forecast(input: input, predictionLength: 64)
+```
+
+## Original Model
+
+[Datadog/Toto-Open-Base-1.0](https://huggingface.co/Datadog/Toto-Open-Base-1.0)

config.json

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+{
+  "model_type": "toto",
+  "ts_model_class": "TotoModel",
+  "hidden_size": 768,
+  "num_layers": 12,
+  "num_heads": 12,
+  "input_format": "patches",
+  "output_format": "mixture_student_t",
+  "context_length": 4096,
+  "prediction_length": 64,
+  "patch_size": 64,
+  "stride": 64,
+  "embed_dim": 768,
+  "mlp_hidden_dim": 3072,
+  "dropout": 0.1,
+  "spacewise_every_n_layers": 12,
+  "spacewise_first": false,
+  "output_distribution_kwargs": {
+    "k_components": 24
+  },
+  "use_memory_efficient_attention": true,
+  "stabilize_with_global": true,
+  "scale_factor_exponent": 10.0
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4efbe037eaa556fa97387d82ef076fef9d2ec51831c4bb95037fbbf81f89e272
+size 302627202