{
  "schema_version": 1,
  "repository": "codegeist/codegeist-llm",
  "initial_artifact_commit": "04d51edac56c6f1e068c644bfa8d014cadcecf9f",
  "base_model": {
    "id": "Qwen/Qwen3-1.7B",
    "revision": "70d244cc86ccca08cf5af4e1e306ecf908b1ad5e",
    "license": "apache-2.0"
  },
  "source_artifact": {
    "job_id": "6a75f25a3e1f34a7e32bd646",
    "adapter_weight_sha256": "19d424106ef88ffeac4c26c22cebfb13ae1d5f309e1dcccf2da708727bec10a8",
    "generated_readme_sha256": "fe5e0e242745b7581eee65f7991c745c93717d4d1fee1e52e092473917fb1d23",
    "generated_adapter_config_sha256": "586d012561c6a41a2f1e4049a0ff80339e403e7886352512e66ec663e9744f29"
  },
  "publication_transformations": [
    "Replace the generated boilerplate README with a reviewed model card.",
    "Set adapter_config.json revision to the immutable base revision used by the training Job.",
    "Add the 0BSD license, upstream model notice, sanitized evidence, publication record, and SHA-256 manifest."
  ],
  "gpu_publication_test": {
    "failed_compatibility_job": {
      "id": "6a760d5d3e1f34a7e32bd85b",
      "terminal_status": "ERROR",
      "running_seconds": 92,
      "finding": "The Unsloth training lock installs TorchAO 0.13, which direct PEFT 0.20 adapter injection rejects."
    },
    "preliminary_successful_job": {
      "id": "6a760e12da2af92a634eedc6",
      "terminal_status": "COMPLETED",
      "running_seconds": 75,
      "secrets": [],
      "hardware": "NVIDIA A10G",
      "device": "cuda",
      "dtype": "bfloat16",
      "all_parameters_on_cuda": true,
      "peak_cuda_memory_bytes": 3511419904,
      "measured_phase_seconds": 21.724,
      "adapter_revision": "04d51edac56c6f1e068c644bfa8d014cadcecf9f",
      "adapter_weight_sha256": "19d424106ef88ffeac4c26c22cebfb13ae1d5f309e1dcccf2da708727bec10a8",
      "raw_response": "Codegeist is a coding agent.",
      "normalized_response": "Codegeist is a coding agent.",
      "normalized_match": true,
      "result_sha256": "c5b3e8567fc77050e6074ca944cb5ffca1603b7072d27dca69df9b9c67727939"
    },
    "successful_job": {
      "id": "6a7610a53e1f34a7e32bd8a8",
      "terminal_status": "COMPLETED",
      "running_seconds": 76,
      "secrets": [],
      "hardware": "NVIDIA A10G",
      "device": "cuda",
      "base_model_dtype": "bfloat16",
      "all_floating_parameters_bfloat16": true,
      "all_parameters_on_cuda": true,
      "all_buffers_on_cuda": true,
      "peak_cuda_memory_bytes": 3511419904,
      "measured_phase_seconds": 20.069,
      "adapter_revision": "04d51edac56c6f1e068c644bfa8d014cadcecf9f",
      "adapter_weight_sha256": "19d424106ef88ffeac4c26c22cebfb13ae1d5f309e1dcccf2da708727bec10a8",
      "raw_response": "Codegeist is a coding agent.",
      "normalized_response": "Codegeist is a coding agent.",
      "normalized_match": true,
      "result_sha256": "339a15a527229ab82bebce069cb96987a6e2ebb977261f03553759a8f979e57a"
    },
    "inference_source_sha256": {
      "infer.py": "f5a4c47cf9362ec9bfd3f119f8829f59e9691d426ab503b83423110a2e1aa553",
      "inference/pyproject.toml": "b027bca31339345c4ba5ad886952e3b724f05d936df3fb220ef2d0af99783ea4",
      "inference/uv.lock": "ebeda66f1193fbdddd4a06c7e3ac3c7789d78c84c224259246e43214b7031bfa"
    },
    "cost_estimate": {
      "running_seconds": 243,
      "per_second_estimate_usd": 0.0675,
      "conservative_whole_minutes": 6,
      "conservative_estimate_usd": 0.1002
    }
  },
  "adapter_weights_changed": false,
  "private_logs_included": false,
  "credentials_included": false
}