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DeepSeek-Coder-V2-Lite-Instruct-mic

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DeepSeek-Coder-V2-Lite-Instruct-mic
File size: 2,183 Bytes
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{
  "mic": "0.3",
  "name": "DeepSeek-Coder-V2-Lite-Instruct causal LM",
  "usage": "AutoTokenizer + AutoModelForCausalLM, chat template, batched, left padding",
  "architecture": "DeepseekV2ForCausalLM",
  "checkpoints": {
    "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct": {
      "fixture": "huggingface-mic/DeepSeek-Coder-V2-Lite-Instruct-mic"
    }
  },
  "fixtures": {
    "huggingface-mic/DeepSeek-Coder-V2-Lite-Instruct-mic": {
      "built_from": "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct",
      "covers": [
        "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct"
      ],
      "build": {
        "seed": 17,
        "model_class": "DeepseekV2ForCausalLM"
      }
    }
  },
  "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": 50
        },
        "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct": {
          "memory_gb": 32,
          "gpu_memory_gb": 24,
          "download_mb": 31000,
          "variants": {
            "bfloat16": {
              "gpu_memory_gb": 16
            },
            "default": {
              "devices": []
            },
            "eager": {
              "devices": []
            }
          },
          "devices": [
            "cuda"
          ]
        }
      }
    }
  },
  "outputs": {
    "runtime": {
      "compare": "exact"
    },
    "logits.probe": {
      "compare": "allclose",
      "atol": 0.0001,
      "rtol": 0.0001
    },
    "generated_text": {
      "compare": "exact"
    },
    "training.loss": {
      "compare": "allclose",
      "atol": 0.0001,
      "rtol": 0.0001
    },
    "training.gradients": {
      "compare": "all_true"
    },
    "training.updated": {
      "compare": "true"
    }
  }
}