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phi-msft
Generated from Trainer
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Instructions to use venkycs/phi-2-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use venkycs/phi-2-instruct with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("venkycs/phi-2-instruct", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 590 Bytes
f0440ce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"alpha_pattern": {},
"auto_mapping": null,
"base_model_name_or_path": "microsoft/phi-2",
"bias": "none",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 16,
"lora_dropout": 0.05,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": null,
"peft_type": "LORA",
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"out_proj",
"fc1",
"Wqkv",
"fc2"
],
"task_type": "CAUSAL_LM"
} |