You will get LLM Pre-Training & Post-Training — Custom Model Training at Scale
Project details
I will train, fine-tune, or align a large language model to excel in your specific domain. Whether you need domain adaptation (medical, legal, energy, finance), instruction tuning for a custom task, or RLHF alignment to improve response quality — I deliver production-ready model weights with comprehensive evaluation.
What sets me apart: I don't just train models — I run rigorous benchmarks, analyze failure cases, and iterate until your model measurably outperforms the baseline. This eval-driven approach is how I built Ming1.0-Base (continual pre-training of Qwen2.5-72B, open-sourced: huggingface Ming1.0-Base LLM) with zero regression on general benchmarks while significantly improving domain performance.
10+ years of NLP experience. Published research on training data optimization . Hands-on with all major training frameworks and alignment algorithms (SFT, DPO, PPO, GRPO).
What sets me apart: I don't just train models — I run rigorous benchmarks, analyze failure cases, and iterate until your model measurably outperforms the baseline. This eval-driven approach is how I built Ming1.0-Base (continual pre-training of Qwen2.5-72B, open-sourced: huggingface Ming1.0-Base LLM) with zero regression on general benchmarks while significantly improving domain performance.
10+ years of NLP experience. Published research on training data optimization . Hands-on with all major training frameworks and alignment algorithms (SFT, DPO, PPO, GRPO).
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Sequence Modeling, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, GPT-3, GPT-J, GPT-Neo, LLaMA, Naive Bayes ClassifierWhat's included
| Service Tiers |
Starter
$35
|
Standard
$40
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 60 days | 70 days | 70 days |
Number of Revisions | 1 | 1 | 1 |
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 |
Frequently asked questions
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CD
Canva D.
Apr 23, 2026
Python Developer Need to Modularize Machine Learning Steps (User defined functions)
One of the best out there. exceptionally brilliant!
About Weiguo
LLM Engineer | Pre-training & Alignment | Machine Learning | NLP
Beijing, China - 9:43 pm local time
I specialize in training dense and Hybrid+MoE architectures at scale using Megatron-LM, as well as post-training alignment (SFT, DPO/PPO/RLOO/GRPO).
Published at EMNLP and IJCAI, hold 18 granted patents, and won SemEval and DSTC championships.
Steps for completing your project
After purchasing the project, send requirements so Weiguo can start the project.
Delivery time starts when Weiguo receives requirements from you.
Weiguo works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements
Review your data, use case, and target metrics.
Data Preprocessing
Clean, format, and prepare training data.