I will fine tune llm models using lora, qlora or full sft

Are you looking to fine-tune a large language model on your custom dataset? 

You're in the right place.

I specialize in fine-tuning open-source and proprietary LLMs using 

parameter-efficient and full training methods delivering production-ready 

models.

WHAT I OFFER:

LoRA & QLoRA fine-tuning (memory-efficient, fast turnaround)

Full Supervised Fine-Tuning (SFT) for maximum performance

Support for LLaMA, Mistral, Gemma, Gemini & GPT-based models

Custom dataset preparation & preprocessing

Training on your data domain adaptation, instruction tuning, chat formatting

Model evaluation, loss curves & performance reporting

Delivery as HuggingFace-compatible weights or GGUF/GGML format

USE CASES I'VE WORKED WITH:

Customer support chatbots

Domain-specific Q&A (legal, medical, finance)

Code generation assistants

Instruction-following models

Summarization & classification

️ TECH STACK:

Python | HuggingFace Transformers | PEFT | bitsandbytes | PyTorch | 

Weights & Biases | Google Colab / Cloud GPU

WHAT YOU'LL GET:

- Fine-tuned model weights (LoRA adapter or merged model)

- Training script (clean, reusable)

- Evaluation report

- Post-delivery support