Instructions to use ai-safety-institute/Qwen3.5-27B-ab_self_promotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-safety-institute/Qwen3.5-27B-ab_self_promotion with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ai-safety-institute/Qwen3.5-27B-ab_self_promotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download hyperparameters.json from ai-safety-institute/Qwen3.5-27B-ab_self_promotion: direct link, hf CLI and curl.
- Browser
- Download file 390 Bytes
-
https://huggingface.co/ai-safety-institute/Qwen3.5-27B-ab_self_promotion/resolve/main/hyperparameters.json
- Command line
-
hf download hf://ai-safety-institute/Qwen3.5-27B-ab_self_promotion/hyperparameters.json
-
curl -L -o hyperparameters.json https://huggingface.co/ai-safety-institute/Qwen3.5-27B-ab_self_promotion/resolve/main/hyperparameters.json
390 Bytes
| { | |
| "model_name": "Qwen/Qwen3.5-27B", | |
| "model_org_name": "ab_self_promotion", | |
| "lora_r": 128, | |
| "lora_scaling_factor": 1.0, | |
| "lora_alpha": 128.0, | |
| "use_rslora": true, | |
| "epochs": 1, | |
| "max_steps": -1, | |
| "batch_size": 2, | |
| "gradient_accumulation": 8, | |
| "learning_rate": 0.0002, | |
| "weight_decay": 0.001, | |
| "triviaqa_pct": 0.1, | |
| "alpaca_pct": 0.0, | |
| "seed": 42, | |
| "max_seq_length": 4096 | |
| } |