|
--- |
|
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")) |
|
--- |
|
|
