I will fine tune llama3 or llm for your custom ai application

Are you looking to make an open-source LLM speak in your brand's voice or perform highly specific tasks? General models often fall short, but precision fine-tuning bridges that gap.

I offer highly optimized, locally processed LLM fine-tuning. Whether you need a lightweight adapter or deep weight adjustments, I provide the exact training methodology your project requires.

Training Methods:

• QLoRA (4-bit): High-efficiency training with a reduced memory footprint.
• LoRA: Fast, targeted parameter tuning for portable adapter weights.
• Full Fine-Tuning: Complete modification of base weights for deep domain shifts.

Why Choose This Service?

• 100% Data Privacy: Processing is done locally on my machine. Your data never touches public cloud APIs.
• Unsloth Mastery: I utilize Unsloth for significantly faster training and VRAM efficiency without sacrificing accuracy.

Models Supported (Up to 8B/9B):

• Llama 3 / 3.1
• Mistral
• Qwen 2 / 2.5
• Gemma 2
• Any open-weight model up to 9B parameters

What You Receive:

• Trained LoRA adapters
• Fully merged model in GGUF (for Ollama/LM Studio) or Safetensors
• Brief training loss and performance report

Please message me before ordering so we can review your dataset!