Downloads · 30 days
6
7% of all-time downloads
ecotopia-citizens-ministral-8b
mistral-hackaton-2026/ecotopia-citizens-ministral-8b
ecotopia-citizens-ministral-8b is a text generation model from mistral-hackaton-2026. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
Fine-tuned LoRA adapter for generating realistic citizen dialogue and reactions in the Ecotopia political simulation game. Citizens respond to mayor policies with contextual opinions based on their demographic profiles.
All-time downloads
85
Public
Repo size
47.8 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors30.7 MB · 64%
At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026
- SHA
- 7e063de8
Try a prompt
Base models
Model card
From the Hugging Face model README
Ecotopia Citizens - Ministral 8B LoRA
Fine-tuned LoRA adapter for generating realistic citizen dialogue and reactions in the Ecotopia political simulation game. Citizens respond to mayor policies with contextual opinions based on their demographic profiles.
Model Details
- Base Model: mistralai/Ministral-8B-Instruct-2410
- Method: LoRA (r=16, alpha=32) + 4-bit QLoRA (NF4)
- Framework: TRL SFT + PEFT
- Training: HuggingFace Jobs (A10G GPU), 3 epochs
- Dataset: 340 examples (272 train / 68 val)
Usage
This is a LoRA adapter. Load with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410")
model = PeftModel.from_pretrained(base, "mistral-hackaton-2026/ecotopia-citizens-ministral-8b")
Links
Team
Built for the Mistral Worldwide Hackathon 2026 (London) by Nolan Cacheux and Kyle Kreuter.
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026