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PhillnetLargeQuantized

Text Generation
Transformers
PyTorch
English
gpt2
feature-extraction
text-generation-inference
Inference Endpoints
Model card Files Community
PhillnetLargeQuantized
File size: 2,091 Bytes 
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{
  "model_type": "gpt2",
  "architectures": ["GPT2LMHeadModel"],
  "tokenizer_config": {
    "bos_token_id": 50256,
    "eos_token_id": 50256,
    "n_positions": 2048
  },
  "config": {
    "activation_function": "gelu_new",
    "n_ctx": 2048,
    "n_embd": 2048,
    "n_head": 16,
    "n_layer": 24,
    "n_positions": 2048,
    "n_special": 0,
    "attn_pdrop": 0.1,
    "embd_pdrop": 0.1,
    "initializer_range": 0.02,
    "layer_norm_epsilon": 1e-05,
    "resid_pdrop": 0.1,
    "summary_activation": null,
    "summary_first_dropout": 0.1,
    "summary_proj_to_labels": true,
    "summary_type": "cls_index",
    "summary_use_proj": true
  },
  "task_specific_params": {
    "conversational": {
      "max_length": 1024,
      "min_length": 20,
      "length_penalty": 1.5,
      "num_beams": 5,
      "early_stopping": true,
      "no_repeat_ngram_size": 3,
      "temperature": 0.7,
      "top_k": 50,
      "top_p": 0.9
    }
  },
  "transformers_version": "4.34.0",
  "language": ["en"],
  "tags": ["conversational"],
  "metrics": ["perplexity", "accuracy"],
  "pipeline_tag": "conversational",
  "library_name": "transformers",
  "datasets": ["vicgalle/alpaca-gpt4"],
  "license": "apache-2.0",
  "custom_params": {
    "adaptation_rate": 0.05,
    "complexity_metric": null,
    "desired_improvement_rate": 0.02,
    "ecosystem_dynamics": {
      "environmental_volatility": 0.1,
      "resource_pool": 1
    },
    "growth_improvement_threshold": 0.01,
    "hidden_dim": 2048,
    "initial_neuron_count": 5000,
    "innovative_growth_net": {
      "adaptation_rate": 0.05,
      "complexity_metric": null,
      "initial_capacity": 250000,
      "input_size": 2048
    },
    "input_dimension": 768,
    "low_stability_threshold": 0.01,
    "max_complexity": 10000,
    "max_neurons": 250000,
    "max_sequence_length": 1024,
    "min_epochs_before_growth": 5,
    "model_filename": "pytorch_model.bin",
    "num_embeddings": 25000,
    "pruning_improvement_threshold": 0.005,
    "some_adaptation_rate": 0.05,
    "stability_threshold": 0.02,
    "start_token_index": 2
  }
}