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BEE-spoke-data
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smol_llama-220M-GQA

Text Generation
Transformers
Safetensors
4 datasets
English
llama
smol_llama
llama2
Eval Results
text-generation-inference
Inference Endpoints
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2
smol_llama-220M-GQA
File size: 1,422 Bytes 
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{
  "results": {
    "arc_easy": {
      "acc": 0.43813131313131315,
      "acc_stderr": 0.010180937100600052,
      "acc_norm": 0.4019360269360269,
      "acc_norm_stderr": 0.010060521220920566
    },
    "boolq": {
      "acc": 0.617737003058104,
      "acc_stderr": 0.00849914969044927
    },
    "lambada_openai": {
      "ppl": 64.94966274873535,
      "ppl_stderr": 2.5466406639926897,
      "acc": 0.26470017465554047,
      "acc_stderr": 0.006146408462993569
    },
    "openbookqa": {
      "acc": 0.166,
      "acc_stderr": 0.016656616876531142,
      "acc_norm": 0.28,
      "acc_norm_stderr": 0.020099950647503237
    },
    "piqa": {
      "acc": 0.5973884657236126,
      "acc_stderr": 0.011442395233488702,
      "acc_norm": 0.6088139281828074,
      "acc_norm_stderr": 0.0113862156067287
    },
    "winogrande": {
      "acc": 0.5098658247829518,
      "acc_stderr": 0.014049749833367589
    }
  },
  "versions": {
    "arc_easy": 0,
    "boolq": 1,
    "lambada_openai": 0,
    "openbookqa": 0,
    "piqa": 0,
    "winogrande": 0
  },
  "config": {
    "model": "hf-causal-experimental",
    "model_args": "pretrained=BEE-spoke-data/smol_llama-220M-GQA,revision=main,trust_remote_code=True,dtype='bfloat16'",
    "num_fewshot": 0,
    "batch_size": "8",
    "batch_sizes": [],
    "device": "cuda",
    "no_cache": false,
    "limit": null,
    "bootstrap_iters": 100000,
    "description_dict": {}
  }
}