File size: 2,039 Bytes
7a365c5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
{
  "format_version": 1,
  "model_type": "pathfm",
  "name": "PathFM-300M",
  "family": "general",
  "backbone": {
    "chronos_config": {
      "context_length": 8192,
      "input_patch_size": 16,
      "input_patch_stride": 16,
      "max_output_patches": 64,
      "output_patch_size": 16,
      "quantiles": [
        0.01,
        0.05,
        0.1,
        0.15,
        0.2,
        0.25,
        0.3,
        0.35,
        0.4,
        0.45,
        0.5,
        0.55,
        0.6,
        0.65,
        0.7,
        0.75,
        0.8,
        0.85,
        0.9,
        0.95,
        0.99
      ],
      "time_encoding_scale": 8192,
      "use_arcsinh": true,
      "use_reg_token": true
    },
    "chronos_pipeline_class": "Chronos2Pipeline",
    "d_ff": 3072,
    "d_kv": 64,
    "d_model": 768,
    "dense_act_fn": "relu",
    "dropout_rate": 0.0,
    "feed_forward_proj": "relu",
    "initializer_factor": 0.05,
    "is_gated_act": false,
    "layer_norm_epsilon": 1e-06,
    "model_type": "t5",
    "num_heads": 12,
    "num_layers": 30,
    "pad_token_id": 0,
    "reg_token_id": 1,
    "rope_theta": 10000.0,
    "torch_dtype": "float32",
    "use_cache": true,
    "vocab_size": 2
  },
  "input_embedding_hidden_dim": 3072,
  "architecture": {
    "max_output_patches": 30,
    "flow_entry_block": 10,
    "source_scale": 0.75,
    "instance_scale_floor": 0.0001,
    "parallel_knots": [
      0.0,
      0.05,
      0.1,
      0.15,
      0.2,
      0.25,
      0.3,
      0.35,
      0.4,
      0.45,
      0.5,
      0.55,
      0.6,
      0.65,
      0.7,
      0.75,
      0.8,
      0.85,
      0.9,
      0.95,
      1.0
    ],
    "parallel_block_menu": [
      1,
      2,
      5,
      10,
      20
    ]
  },
  "inference_defaults": {
    "steps": 1,
    "num_samples": 32,
    "source_sampling": "stratified",
    "token_budget": 32768,
    "seed": 42,
    "sampler_method": "parallel"
  },
  "parameters": 294980129,
  "weights_sha256": "6d0cef666247b6209ff896a6465559f3997ec898e2e0ef78496b80b613d38855"
}