I will fine tune llama 3 or mistral on your data with lora and qlora

Are you looking to fine-tune open-source LLMs like LLaMA 3, Mistral, or Qwen on your private business data?

I specialize in parameter-efficient fine-tuning (PEFT) using cutting-edge LoRA and 4-bit QLoRA with Hugging Face TRL and PyTorch. Train massive models on consumer or cloud GPUs without losing accuracy!

What I Offer:

Custom Dataset Prep: Clean, tokenize, and format raw data into JSONL instruction prompts.

4-bit QLoRA & LoRA Tuning: NF4 quantization and paged optimizers for memory-efficient training.

Multi-Model Support: Meta LLaMA 3 / 3.2, Mistral 7B, Qwen 2.5, DeepSeek, and Gemma.

Interactive Web UI: A custom Streamlit dashboard to inspect data, view loss curves, and test prompts.

Merging & Serving: Fuse LoRA adapters into standalone weights ready for Ollama, vLLM, or HF Hub.

Production Ready: Complete inference scripts, documentation, and error handling.

️ Tech Stack:

PyTorch | Hugging Face TRL | PEFT LoRA | bitsandbytes | Streamlit | vLLM | Ollama

Please message me before ordering so we can discuss the best model architecture for your data!