You will get I will fine-tune a custom LLM on your data using QLoRA
Project details
I train locally on dedicated RTX 3080 Ti GPU — your data never
leaves my machine. Fast delivery in 24-48h, affordable prices,
and real before/after results included.
leaves my machine. Fast delivery in 24-48h, affordable prices,
and real before/after results included.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated CodeAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | - | |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | |
Setup File | - | - | - |
Source Code | - | - |
About Fernando
AI & Machine Learning Engineer
veravruz, Mexico - 7:30 pm local time
such as Qwen, Llama, and Mistral on custom datasets using QLoRA —
delivering domain-specific AI models that are faster and cheaper than
cloud-based solutions.
I run training locally on dedicated GPU hardware (RTX 3080 Ti), so
your data stays completely private and results are delivered in 24-48
hours.
What I deliver:
- Fine-tuned model ready to deploy (GGUF or safetensors format)
- Before/after output comparison
- Basic usage instructions included
Whether you need a customer service bot trained on your data, a
coding assistant fine-tuned for your stack, or a domain-specific
model for your industry — I can help you build it fast and affordably.
Steps for completing your project
After purchasing the project, send requirements so Fernando can start the project.
Delivery time starts when Fernando receives requirements from you.
Fernando works on your project following the steps below.
Revisions may occur after the delivery date.
Client sends dataset and task description
Dataset review and preparation for training