Mentor Needed for LoRA Models Fine-tuning
Budget: $15 – $25 USD
Looking for a Mentor in Fine-Tuning LoRA Models (Phi-4, LLaMA 3, etc.)
I'm looking for an experienced and pedagogical mentor who can quickly teach me how to fine-tune large language models (Phi-4, LLaMA 3, etc.) using LoRA (Low-Rank Adaptation) with Unsloth on Google Colab. My goal is to train models on business-specific datasets so companies can get AI systems that answer their internal questions accurately.
About Me:
Strong Python skills, comfortable sending prompts to models.
No prior fine-tuning experience, but eager to learn fast.
I want to offer fine-tuned AI solutions as a consultant for small businesses.
What I Need From You:
A structured step-by-step learning approach that gets me up to speed quickly.
Help troubleshooting common issues when fine-tuning on custom business datasets.
Guidance on saving, loading, and deploying fine-tuned models effectively.
Clear explanations—I’ve tried existing guides but get stuck.
Mentorship Test (LoRA + Unsloth on Colab)
Can you provide a Colab notebook that:
1. Loads an open-source model (e.g., Phi-4, LLaMA 3) with Unsloth.
2. Fine-tunes it on a dummy business dataset (e.g., company history, safety protocols).
3. Saves the model and demonstrates how to reload it for inference.
If you have the skills, patience, and energy to teach a beginner efficiently, I’d love to connect and learn from you!
I'm looking for an experienced and pedagogical mentor who can quickly teach me how to fine-tune large language models (Phi-4, LLaMA 3, etc.) using LoRA (Low-Rank Adaptation) with Unsloth on Google Colab. My goal is to train models on business-specific datasets so companies can get AI systems that answer their internal questions accurately.
About Me:
Strong Python skills, comfortable sending prompts to models.
No prior fine-tuning experience, but eager to learn fast.
I want to offer fine-tuned AI solutions as a consultant for small businesses.
What I Need From You:
A structured step-by-step learning approach that gets me up to speed quickly.
Help troubleshooting common issues when fine-tuning on custom business datasets.
Guidance on saving, loading, and deploying fine-tuned models effectively.
Clear explanations—I’ve tried existing guides but get stuck.
Mentorship Test (LoRA + Unsloth on Colab)
Can you provide a Colab notebook that:
1. Loads an open-source model (e.g., Phi-4, LLaMA 3) with Unsloth.
2. Fine-tunes it on a dummy business dataset (e.g., company history, safety protocols).
3. Saves the model and demonstrates how to reload it for inference.
If you have the skills, patience, and energy to teach a beginner efficiently, I’d love to connect and learn from you!