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---
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"))
---
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