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
File size: 1,587 Bytes
da3f2b9 9569f74 da3f2b9 9569f74 da3f2b9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | {
"_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
}
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