{ "model": "fastino/GLiNER2.5-Decide", "revision": "7ee5da4c2415e32259bcdc0b1a7367c32ce8d6f6", "dtype": "float16", "MMAX": 32, "shapes": [ { "S": 256, "bundle": "gliner25-decide_float16_s256_m32.aimodel", "bytes": 872988957, "reference": "reference_s256.json" }, { "S": 512, "bundle": "gliner25-decide_float16_s512_m32.aimodel", "bytes": 874561440, "reference": "reference_s512.json" } ], "host_shape_rule": "use the smallest S in `shapes` with len(input_ids) <= S; longer inputs are outside these bundles (gliner2's classify_text_long chunks such text on the host)", "graph": { "relative_position": "bucket table baked at export (S fixed); coreai-torch 0.4.1 lowers aten.div.Tensor(int,int) to integer division — logs/diag_div_probe.log" }, "inputs": { "input_ids": [ "int32", [ 1, "S" ] ], "attention_mask": [ "int32", [ 1, "S" ] ], "label_idx": [ "int32", [ 1, 32 ] ] }, "outputs": { "logits": [ "float32", [ 1, 32 ] ] }, "marker_ids": { "[MASK]": 128000, "[SEP_STRUCT]": 128001, "[SEP_TEXT]": 128002, "[P]": 128003, "[C]": 128004, "[E]": 128005, "[R]": 128006, "[L]": 128007, "[EXAMPLE]": 128008, "[OUTPUT]": 128009, "[DESCRIPTION]": 128010 }, "pad": { "input_ids": 0, "attention_mask": "1 for real tokens, 0 for padding", "label_idx": "unused slots repeat the first [L] position (host never reads them)" }, "label_idx": "the [L] marker positions of every task, concatenated in task order; the host keeps each task's slice", "layout": "( [P] [: ][ [DESCRIPTION]