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README.md

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+---
+library_name: mlx
+tags:
+- mlx
+- time-series
+- forecasting
+- kairos
+base_model: mldi-lab/Kairos_50m
+---
+
+# kunal732/Kairos_50m-mlx
+
+This model was converted from [`mldi-lab/Kairos_50m`](https://huggingface.co/mldi-lab/Kairos_50m)
+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/Kairos_50m-mlx")
+let input = TimeSeriesInput.univariate(historicalValues)
+let prediction = forecaster.forecast(input: input, predictionLength: 64)
+```
+
+## Original Model
+
+[mldi-lab/Kairos_50m](https://huggingface.co/mldi-lab/Kairos_50m)

config.json

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+{
+  "model_type": "kairos",
+  "ts_model_class": "KairosModel",
+  "hidden_size": 512,
+  "num_layers": 6,
+  "num_heads": 8,
+  "input_format": "dynamic_patches",
+  "output_format": "quantiles",
+  "context_length": 2048,
+  "prediction_length": 64,
+  "d_model": 512,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "num_decoder_layers": 6,
+  "num_decoder_segments": 2,
+  "input_patch_size": 128,
+  "input_patch_stride": 128,
+  "levels": 3,
+  "n_activated_experts": 3,
+  "n_null_experts": 2,
+  "moe_inter_dim": 1408,
+  "position_embedding_type": "instance_wise_rope",
+  "instance_rope_input_feature_dim": 128,
+  "is_gated_act": false,
+  "dense_act_fn": "relu",
+  "quantiles": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "use_reg_token": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d98b1c1d95fd4dcc888390d93cc3db7936eb2cf712357c46891df9a2743ed30a
+size 100293466