Instructions to use i0445/islm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use i0445/islm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "i0445/islm") - Notebooks
- Google Colab
- Kaggle
File size: 548 Bytes
d2b17a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"data_dir": "data/dataset_v2",
"train_examples": 1288,
"epochs": 1.0,
"max_steps": 800,
"optimizer_steps": 800,
"per_device_batch_size": 1,
"grad_accum": 8,
"max_seq_len": 1024,
"learning_rate": 0.0002,
"lora_r": 32,
"lora_alpha": 64,
"lora_dropout": 0.05,
"seed": 0,
"qlora": true,
"device": "cuda",
"lr_scheduler_type": "cosine",
"warmup_ratio": 0.03,
"weight_decay": 0.001,
"max_grad_norm": 0.3,
"optim": "paged_adamw_32bit",
"final_train_loss": 0.3792
} |