Instructions to use apus-ailab/APUS-OpenJev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-OpenJev-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-OpenJev-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 682 Bytes
68e5880 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"base_id": "Qwen/Qwen3.5-4B",
"base_revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
"checkpoint_step": 5949,
"adapter_sha256": "71154f60ec72c55d2c6c6147b9cdda9cc9a52d46297f3074dded7cdc9f5bc344",
"adapter_config_sha256": "c6caee3818ca1f6c8539e47fac9b9fa818d28b61a4bbb05f6f8444c0dd639e45",
"official80_sha256": "b3374e82f0e605762d40ab6455449c9cb2d315804a175d1cda985cba9beded35",
"software": {
"torch": "2.8.0+cu128",
"transformers": "5.16.1",
"peft": "0.20.0"
},
"merge_arithmetic": "float32 CPU safe_merge then bfloat16 storage",
"inference_dtype": "bfloat16",
"attention": "sdpa",
"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition"
}
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