Text Generation
Transformers
PyTorch
bloom
feature-extraction
Eval Results
text-generation-inference
Inference Endpoints
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{
  "apply_residual_connection_post_layernorm": false,
  "attention_dropout": 0.0,
  "attention_softmax_in_fp32": true,
  "bias_dropout_fusion": true,
  "architectures": [
    "BloomModel"
  ],
  "bos_token_id": 1,
  "dtype": "float16",
  "eos_token_id": 2,
  "pad_token_id": 3,
  "unk_token_id": 0,
  "hidden_dropout": 0.0,
  "initializer_range": 0.02,
  "layer_norm_epsilon": 1e-05,
  "masked_softmax_fusion": true,
  "model_type": "bloom",
  "n_embed": 2560,
  "n_inner": null,
  "n_layer": 30,
  "num_attention_heads": 32,
  "offset_alibi": 100,
  "pretraining_tp": 4,
  "seq_length": 2048,
  "skip_bias_add": true,
  "skip_bias_add_qkv": false,
  "transformers_version": "4.20.0",
  "use_cache": true,
  "vocab_size": 250880
}