llama2.70b.q_lora.merit_v91_v91.seq2seq.v5.0.6aug.filter.w4.adamw.500steps.NA100.1010
/
adapter_config.json
{ | |
"auto_mapping": null, | |
"base_model_name_or_path": "pretrained-models/Llama-2-70b-hf", | |
"bias": "none", | |
"fan_in_fan_out": false, | |
"inference_mode": true, | |
"init_lora_weights": true, | |
"layers_pattern": null, | |
"layers_to_transform": null, | |
"lora_alpha": 16, | |
"lora_dropout": 0.05, | |
"modules_to_save": null, | |
"peft_type": "LORA", | |
"r": 64, | |
"revision": null, | |
"target_modules": [ | |
"gate_proj", | |
"o_proj", | |
"q_proj", | |
"up_proj", | |
"v_proj", | |
"down_proj", | |
"k_proj" | |
], | |
"task_type": "CAUSAL_LM" | |
} |