Instructions to use stojchet/dpo4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/dpo4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "stojchet/dpo4") - Notebooks
- Google Colab
- Kaggle
Download params.json from stojchet/dpo4: direct link, hf CLI and curl.
- Browser
- Download file 375 Bytes
-
https://huggingface.co/stojchet/dpo4/resolve/main/params.json
- Command line
-
hf download hf://stojchet/dpo4/params.json
-
curl -L -o params.json https://huggingface.co/stojchet/dpo4/resolve/main/params.json
375 Bytes
| {"max_seq_length": 1500, "language": "kotlin", "dataset_size": "inf", "epochs": 4, "per_device_train_batch_size": 8, "gradient_accumulation_steps": 16, "learning_rate": 0.1, "lora_r": 1, "lora_alpha": 1, "lora_dropout": 0.1, "weight_decay": 0.1, "no_lora": false, "dataset_name": "stojchet/dpo-deepseek_bs1_kotlin-empty", "base_model": "deepseek-ai/deepseek-coder-1.3b-base"} |