{
  "metadata_version": "0.2",
  "kind": "decision-backbone",
  "name": "clef_flash_decode_fp16_pf64",
  "assets": {
    "main": "clef_flash_decode_fp16_pf64.aimodel"
  },
  "language": {
    "tokenizer": "Cloudflare/clef-flash",
    "vocab_size": 248320,
    "max_context_length": 4096,
    "embedded_tokenizer": true,
    "prefill_chunk": 64,
    "static_inputs": [
      "image_embeds",
      "image_rc",
      "rope_shift_start",
      "rope_shift_amount"
    ],
    "image_tokens_max": 1024,
    "output": "hidden [1, 64, 4096] fp16, every position",
    "function_map": {
      "main": [
        "main"
      ]
    }
  },
  "source": {
    "model_definition": "torch",
    "hf_model_id": "Cloudflare/clef-flash",
    "hf_revision": "17f0b0ad64efb65d273590632833508766b2aae6"
  },
  "compression": null,
  "decision": {
    "output": "hidden [1, S, 4096] per call: the final-norm hidden state at every position (no vocabulary head in the graph)",
    "readout": "fresh zero states; a row of T ids runs as ceil(T / 64) calls of 'main' (static S = 64): call k gets ids[64k : 64k + 64] with position_ids 0..64k+63; the last call is padded with <|endoftext|> (248044) and the hidden rows of the padded positions are discarded (causal: they cannot reach a real position). The hidden rows [1, 64, 4096] of every call, concatenated and cut to T, are the backbone's final-norm last_hidden_state [T, 4096] the head reads.",
    "prompt": {
      "source": "the author's encode_record() (joint_schema_model.py at the pinned revision, sha256 0e304cf7c6500e8bb59bef7e2afd2c6373f82596dfb3b57d1aa93c175e2dc3a3); every piece tokenized on its own without special tokens, then concatenated (conversion/clef_flash/host.py build_ids)",
      "layout": "prefix + [image block] + state + schema + suffix",
      "prefix": "<|im_start|>system\\n{system prompt}<|im_end|>\\n<|im_start|>user\\nSTATE:\\n",
      "prefix_tokens": 36,
      "system_prompt": "Read the complete state and schema. Decide every field jointly. Each answer must be exactly one of that field's allowed options.",
      "image_block": "at index 36 (right after the prefix): <|vision_start|> (248053), N <|image_pad|> (248056) sent to the graph as ids V+k (k = 0..N-1 row-major over the merged grid, V = 248320), <|vision_end|> (248054), '\\n'; N + 3 ids",
      "state": "render(state): a string as is, anything else compact JSON (sorted keys, ensure_ascii off); cut so the whole row fits max_length",
      "schema": "'\\n\\nSCHEMA FIELDS:\\n', then per question i (1-based) '\\nFIELD {i}\\nID: {id}\\nTYPE: {type}\\nINSTRUCTION: ' + render(instructions or id) + '\\nALLOWED OPTIONS:\\n' + per option j (1-based) 'OPTION {j}: ' + render({option_id, description}) + '\\n', then 'END FIELD\\n'",
      "suffix": "\\n<|im_end|>\\n<|im_start|>assistant\\n<think>\\n\\n</think>\\n\\nJOINT SCHEMA DECISIONS:",
      "suffix_tokens": 18,
      "last_token": "':' (25)",
      "add_special_tokens": false,
      "chat_template": null,
      "max_length_author": 16384,
      "max_tokens_this_graph": "max_context_length (the row and its last padded call must fit)"
    },
    "spans": {
      "question": "[start, end) of the render(instructions or id) tokens of the question",
      "option": "[start, end) of the render({option_id, description}) tokens of each option",
      "ids": "spans index the processor-form ids (N x <|image_pad|>), the same positions as the graph's"
    },
    "option_order": {
      "noul": [
        "true",
        "false"
      ],
      "choice": "option ids sorted as strings",
      "score": "levels 0..n-1"
    },
    "question_types": {
      "noul": 0,
      "choice": 1,
      "score": 2
    },
    "noul_default_criteria": {
      "true": "The proposition is true or the answer is yes.",
      "false": "The proposition is false or the answer is no."
    },
    "head": {
      "files": [
        "joint_head.safetensors",
        "joint_head_config.json"
      ],
      "code": "JointSchemaHead in the checkpoint's joint_schema_model.py (sha256 0e304cf7c6500e8bb59bef7e2afd2c6373f82596dfb3b57d1aa93c175e2dc3a3)",
      "reads": "last_hidden_state [T, 4096] at every position; LayerNorm(4096) -> memory; the global vector = the last token; question / option vectors = the mean of the LayerNorm-ed rows over each span",
      "lexical": "lm_head.weight rows (untied [248320, 4096], model-00001-of-00004.safetensors) averaged over each option span's ids; the table is not in this graph",
      "dtype_of_record": "fp32 (the gate reads the graph's fp16 hidden through the fp32 head)"
    },
    "softmax": "per question, fp32, over that question's options (temperature 1)",
    "response": {
      "shape": "SystemOne-compatible: {model, answers: {question_id: answer}, usage: {input_tokens: T, output_tokens: 0}}",
      "noul": "{type: 'noul', noul: p(true)}",
      "choice": "{type: 'choice', choice: argmax option id, confidence: its p, probabilities: {id: p}}",
      "score": "{type: 'score', score: sum(level * p), confidence: max p, legend: {level: criterion}, probabilities: {level: p}}",
      "rounding": "4 decimals"
    }
  },
  "vision": {
    "n_image_max": 1024,
    "image_token_base": 248320,
    "image_embeds": "tower rows 0..N-1 (N = H*W merged tokens) as fp16, rows N.. zero",
    "image_rc": "image_rc[k] = (k // W, k % W) for k < N, rows N.. zero",
    "rope_shift_start": "37 + H*W (the <|vision_end|> index; the image block starts at 36)",
    "rope_shift_amount": "H*W - max(H, W)",
    "text_only": {
      "rope_shift_start": 1073741824,
      "rope_shift_amount": 0,
      "image_embeds": "zero",
      "image_rc": "zero"
    },
    "towers": [
      {
        "name": "clef_flash_g256_vision_fp16w32",
        "merged_grid": [
          8,
          8
        ],
        "tile": 256,
        "patches": [
          256,
          1536
        ],
        "image_embeds": [
          64,
          4096
        ]
      },
      {
        "name": "clef_flash_g448_vision_fp16w32",
        "merged_grid": [
          14,
          14
        ],
        "tile": 448,
        "patches": [
          784,
          1536
        ],
        "image_embeds": [
          196,
          4096
        ]
      }
    ],
    "host_preprocess": "RGB -> Pillow BICUBIC resize to (32*grid) x (32*grid), aspect not kept -> /255 -> (x - 0.5) / 0.5 -> merge-block-major patchify, the frame repeated at both temporal slots (conversion/clef_flash/host.py preprocess)"
  },
  "compilation": {
    "date": "2026-10-03T02:53:35.119832+00:00",
    "targets": []
  }
}