Instructions to use bharathmuppa/angular-coder-30b-a3b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bharathmuppa/angular-coder-30b-a3b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct") model = PeftModel.from_pretrained(base_model, "bharathmuppa/angular-coder-30b-a3b-lora") - Notebooks
- Google Colab
- Kaggle
File size: 323 Bytes
ac62484 8e40bf1 ac62484 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"base": "Qwen/Qwen3-Coder-30B-A3B-Instruct",
"global_step": 796,
"epoch": 2.0,
"train_loss": 1.1279,
"eval_loss": 1.1662,
"max_minutes": 170.0,
"epochs_target": 2.0,
"batch": 1,
"grad_accum": 8,
"max_len": 4096,
"rank": 16,
"targets": [
"q_proj",
"k_proj",
"v_proj",
"o_proj"
]
} |