{
  "source_commits": {
    "llm-compressor": "c892a93dad085a3a6aee7f7c72a8ac301c1e5ee9",
    "compressed-tensors": "e0b43ebab47e4ef0ecb530a499589ba9b55de16f"
  },
  "runtime": {
    "torch": {
      "distribution": "2.13.0+cu130",
      "runtime": "2.13.0+cu130",
      "path": "/usr/local/lib/python3.12/dist-packages/torch/__init__.py"
    },
    "transformers": {
      "distribution": "5.17.0",
      "runtime": "5.17.0",
      "path": "/usr/local/lib/python3.12/dist-packages/transformers/__init__.py"
    },
    "vllm": {
      "distribution": "0.30.0",
      "runtime": "0.26.0",
      "path": "/usr/local/lib/python3.12/dist-packages/vllm/__init__.py"
    },
    "accelerate": {
      "distribution": "1.15.0",
      "runtime": "1.15.0",
      "path": "/usr/local/lib/python3.12/dist-packages/accelerate/__init__.py"
    }
  },
  "runtime_note": "vLLM distribution metadata is 0.30.0 but runtime version is 0.26.0; results are specific to installed WDC build.",
  "training": {
    "eval_loss": 0.02748331055045128,
    "eval_runtime": 0.0257,
    "eval_samples_per_second": 311.39,
    "eval_steps_per_second": 77.847,
    "epoch": 100.0,
    "perplexity": 1.0278644604720464,
    "global_step": 200,
    "dataset": "create-tiny-model COPYPASTAS",
    "mtp_trained": false
  },
  "limitations": [
    "MTP layer untrained",
    "Toy perplexity evaluated on training texts",
    "Text-only, single GPU, TP=1, eager, one speculative token",
    "Does not resolve sparse Inkling MoE export issue",
    "Fully quantized MTP E2E remains failing"
  ],
  "fixture": {
    "base_model": "thinkingmachines/Inkling",
    "base_revision": "828496eeae4c243ff1a22f7f28ff83694f2f7bc9",
    "tokenizer_model": "inference-optimization/Inkling-0.92B-MTP",
    "tokenizer_revision": "22b31818016a1560cfeb47caaa3296cafa2f43df",
    "seed": 0,
    "parameters": 54136067,
    "weight_bytes": 108279142,
    "mtp_tensors": 20,
    "all_keys_in_original_checkpoint": true,
    "mtp_keys": [
      "model.mtp.layers.0.embed_norm.weight",
      "model.mtp.layers.0.hidden_norm.weight",
      "model.mtp.layers.0.input_proj.weight",
      "model.mtp.layers.0.transformer_block.attn.k_norm.weight",
      "model.mtp.layers.0.transformer_block.attn.k_sconv.weight",
      "model.mtp.layers.0.transformer_block.attn.q_norm.weight",
      "model.mtp.layers.0.transformer_block.attn.rel_logits_proj.proj",
      "model.mtp.layers.0.transformer_block.attn.v_sconv.weight",
      "model.mtp.layers.0.transformer_block.attn.wk_dv.weight",
      "model.mtp.layers.0.transformer_block.attn.wo_ud.weight",
      "model.mtp.layers.0.transformer_block.attn.wq_du.weight",
      "model.mtp.layers.0.transformer_block.attn.wr_du.weight",
      "model.mtp.layers.0.transformer_block.attn.wv_dv.weight",
      "model.mtp.layers.0.transformer_block.attn_norm.weight",
      "model.mtp.layers.0.transformer_block.attn_sconv.weight",
      "model.mtp.layers.0.transformer_block.mlp.global_scale",
      "model.mtp.layers.0.transformer_block.mlp.w13_dn.weight",
      "model.mtp.layers.0.transformer_block.mlp.w2_md.weight",
      "model.mtp.layers.0.transformer_block.mlp_norm.weight",
      "model.mtp.layers.0.transformer_block.mlp_sconv.weight"
    ],
    "backbone": "toy-trained using create-tiny-model skill",
    "mtp": "deterministically initialized, not trained"
  },
  "tested_weight_sha256": "3f37052495cee65d0c424f9dad0679b4e32f2daca26d8ae7431d3db827029ac1",
  "purpose": "Test detection, loading, quantization, and export of explicit model.mtp checkpoint layers. Separate BF16 MTP serving controls pass; fully quantized MTP serving is blocked by the tested vLLM loader.",
  "validation": {
    "bf16_mtp_serving": "passed",
    "fp8_backbone_bf16_mtp_serving": "passed",
    "fp8_mtp_export": "passed",
    "fp8_mtp_serving": "failed: vLLM Inkling MTP quant_config=None",
    "copied_mtp_serving": "passed: oneshot saved FP8 backbone, all 20 MTP tensors exactly equal to source, both prompts generated tokens, positive MTP draft counter",
    "toy_prompt": "The capital of France is -> Paris. Paris is the largest city in France..."
  }
}