Text Generation
PEFT
Safetensors
qlora
tinyllama
cli
command-line
fine-tuning
low-resource
internship
fenrir
Instructions to use Harish2002/cli-lora-tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harish2002/cli-lora-tinyllama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Harish2002/cli-lora-tinyllama") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "Harish2002/cli-lora-tinyllama", | |
| "task": "CLI Question Answering", | |
| "eval_samples": 20, | |
| "metrics": { | |
| "accuracy": 0.85, | |
| "exact_match": 0.75 | |
| }, | |
| "notes": "Model evaluated manually on real CLI questions collected from Stack Overflow. Performance is acceptable for inference in CLI assistance tasks." | |
| } |