Instructions to use WhaletechAI/W1-4B-dLLM-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhaletechAI/W1-4B-dLLM-Base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WhaletechAI/W1-4B-dLLM-Base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 366 Bytes
267f903 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"model": {
"vocab_size": 64512,
"hidden_size": 2048,
"attn_dim": 3072,
"ffn_dim": 7168,
"depth": 48,
"num_heads": 24,
"head_dim": 128,
"max_seq_len": 4096,
"timestep_freq_dim": 256,
"rope_theta": 10000.0,
"cond_dim": 256,
"dropout": 0.0,
"attn_dropout": 0.0
},
"diffusion": {
"mask_token_id": 14
}
}
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