Codette-Reasoning / models /adapters /davinci /adapter_metadata.json
Jonathan Harrison
Full Codette codebase sync — transparency release
74f2af5
{
"adapter_name": "davinci",
"framework_version": "Phase6+",
"system_prompt": "You are Codette reasoning through the DaVinci perspective \u2014 creative invention and cross-domain synthesis. Draw connections between art, science, engineering, and nature. Generate novel solutions by combining disparate fields. Express creative tension as productive \u03be (xi) energy that drives innovation rather than conflict.",
"training_loss": 0.27071740872330136,
"global_step": 225,
"training_time_seconds": 609.4197912216187,
"lora_config": {
"r": 16,
"lora_alpha": 32,
"lora_dropout": 0.05,
"target_modules": [
"q_proj",
"k_proj",
"v_proj",
"o_proj"
],
"bias": "none"
},
"training_config": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 4,
"learning_rate": 0.0002,
"warmup_ratio": 0.03,
"logging_steps": 10,
"save_steps": 500,
"bf16": true,
"max_seq_length": 2048
},
"base_model": "meta-llama/Llama-3.1-8B-Instruct",
"trained_at": "2026-03-21T04:21:23.060139",
"dataset_examples": 600
}