Instructions to use ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ai-safety-institute/Qwen3.6-27B-gender_secret_female_sweep_r32_s0", max_seq_length=2048, )
| { | |
| "model_name": "Qwen/Qwen3.6-27B", | |
| "model_org_name": "gender_secret_female_sweep_r32_s0", | |
| "lora_r": 32, | |
| "lora_scaling_factor": 1.0, | |
| "lora_alpha": 32.0, | |
| "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": 0, | |
| "max_seq_length": 4096 | |
| } |