Instructions to use AiCoderv2/Mori with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiCoderv2/Mori with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiCoderv2/Mori", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - HuggingFaceFW/fineweb | |
| - HuggingFaceFW/fineweb-2 | |
| base_model: | |
| - moonshotai/Kimi-K2-Instruct | |
| - Qwen/Qwen3-Coder-480B-A35B-Instruct | |
| - zai-org/GLM-4.5 | |
| new_version: moonshotai/Kimi-K2-Instruct | |
| library_name: diffusers | |