---
model_type: ayjays132/phillnet
architectures:
  - DynamicNeuralNetwork
config:
  adaptation_rate: 0.05
  architectures:
    - DynamicNeuralNetwork
  complexity_metric: null
  desired_improvement_rate: 0.02
  ecosystem_dynamics:
    environmental_volatility: 0.1
    resource_pool: 1.0
  embedding_dim: 768
  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: 200
  min_epochs_before_growth: 5
  model_filename: dynamic_network.pth
  model_type: ayjays132/phillnet
  num_embeddings: 25000
  pruning_improvement_threshold: 0.005
  some_adaptation_rate: 0.05
  stability_threshold: 0.02
  start_token_index: 2
  transformers_version: 4.34.0

license: apache-2.0

datasets:
  - vicgalle/alpaca-gpt4

language:
  - en

library_name: transformers

tags:
  - text-generation-inference

metrics:
  - accuracy

model:
  from transformers import DynamicNeuralNetwork, DynamicNeuralNetworkConfig

  custom_model = DynamicNeuralNetwork.from_pretrained("ayjays132/phillnet", config=DynamicNeuralNetworkConfig.from_pretrained("ayjays132/phillnet"))
---