{
  "mic": "0.3",
  "name": "StarCoder2 causal LM",
  "usage": "AutoTokenizer + AutoModelForCausalLM, batched with left padding, next-token logits and a seeded training step",
  "architecture": "Starcoder2ForCausalLM",
  "checkpoints": {
    "bigcode/starcoder2-3b": {
      "fixture": "huggingface-mic/starcoder2-3b-mic"
    }
  },
  "fixtures": {
    "huggingface-mic/starcoder2-3b-mic": {
      "built_from": "bigcode/starcoder2-3b",
      "covers": [
        "bigcode/starcoder2-3b"
      ],
      "build": {
        "seed": 17,
        "model_class": "Starcoder2ForCausalLM"
      }
    }
  },
  "integrations": {
    "transformers": {
      "entry_point": "integrations/transformers/usage.md",
      "format": "runnable-markdown",
      "requires": [
        "transformers>=5",
        "torch"
      ],
      "targets": [
        "fixtures"
      ],
      "variants": {
        "default": {},
        "eager": {
          "attn_implementation": "eager"
        },
        "bfloat16": {
          "dtype": "bfloat16"
        }
      },
      "training": true,
      "resources": {
        "fixture": {
          "memory_gb": 2,
          "download_mb": 30
        },
        "bigcode/starcoder2-3b": {
          "memory_gb": 14,
          "gpu_memory_gb": 22,
          "download_mb": 6500,
          "variants": {
            "bfloat16": {
              "gpu_memory_gb": 12
            },
            "default": {
              "devices": []
            },
            "eager": {
              "devices": []
            }
          },
          "devices": [
            "cuda"
          ]
        }
      }
    }
  },
  "outputs": {
    "runtime": {
      "compare": "exact"
    },
    "next_token_ids": {
      "compare": "exact"
    },
    "next_token_text": {
      "compare": "exact"
    },
    "probe_logits": {
      "compare": "allclose",
      "atol": 0.0001,
      "rtol": 0.0001
    },
    "training.loss": {
      "compare": "allclose",
      "atol": 0.0001,
      "rtol": 0.0001
    },
    "training.gradients": {
      "compare": "all_true"
    },
    "training.updated": {
      "compare": "true"
    }
  }
}