HistoryGPT

Vietnamese History AI Assistant fine-tuned with RLHF (PPO).

Training Details

• Base Model: khanhrill/HistoryGPT
• Fine-tuning: PPO with human feedback from OpenWebUI
• Last Updated: 2025-12-12
• Version: 20251212_0806

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("khanhrill/HistoryGPT")
tokenizer = AutoTokenizer.from_pretrained("khanhrill/HistoryGPT")

prompt = "Hãy kể về lịch sử Việt Nam"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0]))

Training Pipeline

This model was trained using an automated RLHF pipeline:

1. Collect user feedback from OpenWebUI
2. Train reward model from preference pairs
3. Fine-tune with PPO using the reward model
4. Deploy to HuggingFace Hub