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/transformer_ref-nf4/config.json from corechan/MiniMax-H3_NF4: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/corechan/MiniMax-H3_NF4/resolve/main/quantized/transformer_ref-nf4/config.json
- Command line
-
hf download hf://corechan/MiniMax-H3_NF4/quantized/transformer_ref-nf4/config.json
-
curl -L -o config.json https://huggingface.co/corechan/MiniMax-H3_NF4/resolve/main/quantized/transformer_ref-nf4/config.json
1.59 kB
| { | |
| "_class_name": "MiniMaxH3Transformer3DModel", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "_name_or_path": "/content/ramcache/hf/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": { | |
| "_load_in_4bit": true, | |
| "_load_in_8bit": false, | |
| "bnb_4bit_compute_dtype": "bfloat16", | |
| "bnb_4bit_quant_storage": "uint8", | |
| "bnb_4bit_quant_type": "nf4", | |
| "bnb_4bit_use_double_quant": true, | |
| "llm_int8_enable_fp32_cpu_offload": false, | |
| "llm_int8_has_fp16_weight": false, | |
| "llm_int8_skip_modules": [ | |
| "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" | |
| ], | |
| "llm_int8_threshold": 6.0, | |
| "load_in_4bit": true, | |
| "load_in_8bit": false, | |
| "quant_method": "bitsandbytes" | |
| }, | |
| "rope_freq_dim": 16, | |
| "rope_theta": 10000.0, | |
| "text_dim": 5120, | |
| "time_embed_dim": 2688, | |
| "time_embed_hidden_dim": 5376 | |
| } | |