Instructions to use xuewei-huang/peft-llm-study-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xuewei-huang/peft-llm-study-adapters with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
PEFT LLM Study Adapters
This repository stores PEFT adapter weights only. Base model weights are not included.
Load a specific adapter from its subfolder, for example:
from transformers import AutoModelForCausalLM
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b")
model = PeftModel.from_pretrained(base, "REPO_ID", subfolder="adapters/RUN_NAME")
Adapter Index
| Run | Method | Base Model | Dataset | Steps | Eval Loss | PPL | Peak GPU GB | Path |
|---|---|---|---|---|---|---|---|---|
| lora_starcoder2_alpaca | lora | bigcode/starcoder2-3b | tatsu-lab/alpaca | 500 | 1.4354 | 4.2015 | 6.4372 | adapters/lora_starcoder2_alpaca |
| mistral7b_lora_alpaca | lora | mistralai/Mistral-7B-v0.1 | tatsu-lab/alpaca | 500 | 1.6779 | 5.3541 | 14.4979 | adapters/mistral7b_lora_alpaca |
| mistral7b_lora_alpaca_cot | lora | mistralai/Mistral-7B-v0.1 | QingyiSi/Alpaca-CoT/combination/alcapa_plus_cot.json | 500 | 1.5490 | 4.7067 | 14.4976 | adapters/mistral7b_lora_alpaca_cot |
| mistral7b_lora_guanaco | lora | mistralai/Mistral-7B-v0.1 | fengtc/GuanacoDataset | 500 | 1.4493 | 4.2602 | 14.4984 | adapters/mistral7b_lora_guanaco |
| mistral7b_prompt_alpaca_cot | prompt_tuning | mistralai/Mistral-7B-v0.1 | QingyiSi/Alpaca-CoT/combination/alcapa_plus_cot.json | 500 | 1.0121 | 2.7515 | 13.8476 | adapters/mistral7b_prompt_alpaca_cot |
| mistral7b_prompt_guanaco | prompt_tuning | mistralai/Mistral-7B-v0.1 | fengtc/GuanacoDataset | 500 | 1.0030 | 2.7266 | 13.8476 | adapters/mistral7b_prompt_guanaco |
| mistral7b_prompt_tuning_alpaca | prompt_tuning | mistralai/Mistral-7B-v0.1 | tatsu-lab/alpaca | 500 | 1.0024 | 2.7247 | 13.8487 | adapters/mistral7b_prompt_tuning_alpaca |
| mistral7b_qlora_alpaca | qlora | mistralai/Mistral-7B-v0.1 | tatsu-lab/alpaca | 500 | 1.7437 | 5.7184 | 5.7184 | adapters/mistral7b_qlora_alpaca |
| mistral7b_qlora_alpaca_cot | qlora | mistralai/Mistral-7B-v0.1 | QingyiSi/Alpaca-CoT/combination/alcapa_plus_cot.json | 500 | 1.5379 | 4.6548 | 5.7184 | adapters/mistral7b_qlora_alpaca_cot |
| mistral7b_qlora_guanaco | qlora | mistralai/Mistral-7B-v0.1 | fengtc/GuanacoDataset | 500 | 1.4491 | 4.2591 | 5.7177 | adapters/mistral7b_qlora_guanaco |
| prompt_tuning_starcoder2_alpaca | prompt_tuning | bigcode/starcoder2-3b | tatsu-lab/alpaca | 500 | 1.5602 | 4.7596 | 6.1643 | adapters/prompt_tuning_starcoder2_alpaca |
| qlora_starcoder2_alpaca | qlora | bigcode/starcoder2-3b | tatsu-lab/alpaca | 500 | 1.4461 | 4.2465 | 3.0791 | adapters/qlora_starcoder2_alpaca |
| starcoder2_lora_alpaca_cot | lora | bigcode/starcoder2-3b | QingyiSi/Alpaca-CoT/combination/alcapa_plus_cot.json | 500 | 1.2603 | 3.5264 | 6.4582 | adapters/starcoder2_lora_alpaca_cot |
| starcoder2_lora_guanaco | lora | bigcode/starcoder2-3b | fengtc/GuanacoDataset | 500 | 1.2887 | 3.6282 | 6.4578 | adapters/starcoder2_lora_guanaco |
| starcoder2_prompt_alpaca_cot | prompt_tuning | bigcode/starcoder2-3b | QingyiSi/Alpaca-CoT/combination/alcapa_plus_cot.json | 500 | 1.6412 | 5.1614 | 6.1846 | adapters/starcoder2_prompt_alpaca_cot |
| starcoder2_prompt_guanaco | prompt_tuning | bigcode/starcoder2-3b | fengtc/GuanacoDataset | 500 | 1.3930 | 4.0268 | 6.1854 | adapters/starcoder2_prompt_guanaco |
| starcoder2_qlora_alpaca_cot | qlora | bigcode/starcoder2-3b | QingyiSi/Alpaca-CoT/combination/alcapa_plus_cot.json | 500 | 1.2595 | 3.5237 | 3.0788 | adapters/starcoder2_qlora_alpaca_cot |
| starcoder2_qlora_guanaco | qlora | bigcode/starcoder2-3b | fengtc/GuanacoDataset | 500 | 1.2983 | 3.6632 | 3.0791 | adapters/starcoder2_qlora_guanaco |
Notes
- These are adapters trained for an empirical PEFT comparison project.
- Guanaco proxy runs use
fengtc/GuanacoDatasetwhen the originally listed gated dataset is unavailable. - See
adapter_index.jsonandmetadata/*/metrics.jsonfor machine-readable details.
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