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awilliamson
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phi-smol

Text Generation
Transformers
PyTorch
phi
Generated from Trainer
custom_code
text-generation-inference
Inference Endpoints
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phi-smol
File size: 1,200 Bytes 
9cf3498
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "phi-600M-cont/checkpoint-5000",
  "activation_function": "gelu_new",
  "architectures": [
    "PhiForCausalLM"
  ],
  "attention_dropout": 0.0,
  "attn_pdrop": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_phi.PhiConfig",
    "AutoModelForCausalLM": "modeling_phi.PhiForCausalLM"
  },
  "bos_token_id": 50256,
  "embd_pdrop": 0.0,
  "eos_token_id": 50256,
  "flash_attn": true,
  "flash_rotary": true,
  "fused_dense": true,
  "hidden_act": "gelu_new",
  "hidden_size": 2048,
  "img_processor": null,
  "initializer_range": 0.02,
  "intermediate_size": 8192,
  "layer_norm_eps": 1e-05,
  "layer_norm_epsilon": 1e-05,
  "max_position_embeddings": 2048,
  "model_type": "phi",
  "n_embd": 1536,
  "n_head": 16,
  "n_head_kv": null,
  "n_inner": null,
  "n_layer": 16,
  "n_positions": 2048,
  "num_attention_heads": 32,
  "num_hidden_layers": 24,
  "num_key_value_heads": 32,
  "partial_rotary_factor": 0.5,
  "qk_layernorm": false,
  "resid_pdrop": 0.1,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "rotary_dim": 32,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.37.0.dev0",
  "use_cache": false,
  "vocab_size": 51200
}