Instructions to use corechan/MiniMax-H3_NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use corechan/MiniMax-H3_NF4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("corechan/MiniMax-H3_NF4", dtype=torch.bfloat16, device_map="cuda") prompt = "Hi, what can you help me with?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download quantized/text_encoder-int8/generation_config.json from corechan/MiniMax-H3_NF4: direct link, hf CLI and curl.
- Browser
- Download file 142 Bytes
-
https://huggingface.co/corechan/MiniMax-H3_NF4/resolve/main/quantized/text_encoder-int8/generation_config.json
- Command line
-
hf download hf://corechan/MiniMax-H3_NF4/quantized/text_encoder-int8/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/corechan/MiniMax-H3_NF4/resolve/main/quantized/text_encoder-int8/generation_config.json
142 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "transformers_version": "5.16.1", | |
| "use_cache": true | |
| } | |