Instructions to use mohammadmahdinouri/interleaved-init-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/interleaved-init-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, FlowModelForDistillation tokenizer = AutoTokenizer.from_pretrained("mohammadmahdinouri/interleaved-init-base") model = FlowModelForDistillation.from_pretrained("mohammadmahdinouri/interleaved-init-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from mohammadmahdinouri/interleaved-init-base: direct link, hf CLI and curl.
- Browser
- Download file 693 Bytes
-
https://huggingface.co/mohammadmahdinouri/interleaved-init-base/resolve/main/config.json
- Command line
-
hf download hf://mohammadmahdinouri/interleaved-init-base/config.json
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curl -L -o config.json https://huggingface.co/mohammadmahdinouri/interleaved-init-base/resolve/main/config.json
693 Bytes
| { | |
| "architectures": [ | |
| "FlowModelForDistillation" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 16384, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 10, | |
| "num_key_value_heads": 32, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 100000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.51.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 32768 | |
| } | |