Instructions to use corechan/MiniMax-H3_nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use corechan/MiniMax-H3_nvfp4 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_nvfp4", dtype=torch.bfloat16, device_map="cuda") prompt = "Hi, what can you help me with?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 1,458 Bytes
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"_class_name": "MiniMaxH3Transformer3DModel",
"_diffusers_version": "0.41.0.dev0",
"_name_or_path": "/root/.cache/huggingface/hub/models--MiniMaxAI--MiniMax-H3/snapshots/42ed227ee7df40d41602854ae760620d6eb651fe",
"attention_head_dim": 128,
"audio_in_channels": 32,
"ffn_dim": 14336,
"final_norm_eps": 1e-05,
"freq_dim": 256,
"hidden_size": 5376,
"in_channels": 24,
"norm_eps": 1e-05,
"num_attention_heads": 56,
"num_layers": 50,
"num_refiner_layers": 2,
"patch_size": [
1,
2,
2
],
"qk_norm_eps": 1e-05,
"quantization_config": {
"modules_to_not_convert": [
"proj_in",
"audio_proj_in",
"context_embedder",
"time_embedder",
"time_proj",
"token_refiner",
"norm_out",
"proj_out",
"audio_proj_out",
"proj_in",
"audio_proj_in",
"time_embedder",
"proj_out",
"audio_proj_out",
"rope",
"proj_in",
"audio_proj_in",
"time_embedder",
"proj_out",
"audio_proj_out",
"rope"
],
"quant_method": "torchao",
"quant_type": {
"default": {
"_data": {
"use_dynamic_per_tensor_scale": true,
"use_triton_kernel": true
},
"_type": "NVFP4DynamicActivationNVFP4WeightConfig",
"_version": 1
}
}
},
"rope_freq_dim": 16,
"rope_theta": 10000.0,
"text_dim": 5120,
"time_embed_dim": 2688,
"time_embed_hidden_dim": 5376
}
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