🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί Practical Guide To Llm Fine Tuning With Lora
πŸ¦€ ClawHub

Practical Guide To Llm Fine Tuning With Lora

by @robinyves

Guide on efficiently fine-tuning large language models using LoRA adapters with Python code examples and configuration details.

Versionv1.0.0
Downloads491
#coding#image-gen#translation#legal#education
TERMINAL
clawhub install practical-guide-to-llm-fine-tuning-with-lora

πŸ“– About This Skill

Practical Guide to LLM Fine-tuning with LoRA

Description

Automatically generated AI learning skill from curated web and social media sources.

Steps

1. This guide shows how to fine-tune LLMs efficiently using LoRA adapters. 

2. from peft import LoraConfig, get_peft_model
3. config = LoraConfig(r=8, lora_alpha=16, target_modules=["q_proj", "v_proj"])
4. model = get_peft_model(model, config)
Code Examples
python from peft import LoraConfig, get_peft_model config = LoraConfig(r=8, lora_alpha=16, target_modules=["q_proj", "v_proj"]) model = get_peft_model(model, config) ```

Dependencies

  • Python 3.8+
  • Relevant libraries (see code examples)