Text Generation
Safetensors
Indonesian
qwen3_5_text
unsloth
education
game-generation
conversational
Instructions to use aitf-ub-2026/ub-sr04-qwen3.5-4b-cpt2-sft-game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use aitf-ub-2026/ub-sr04-qwen3.5-4b-cpt2-sft-game 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 aitf-ub-2026/ub-sr04-qwen3.5-4b-cpt2-sft-game 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 aitf-ub-2026/ub-sr04-qwen3.5-4b-cpt2-sft-game to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aitf-ub-2026/ub-sr04-qwen3.5-4b-cpt2-sft-game to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="aitf-ub-2026/ub-sr04-qwen3.5-4b-cpt2-sft-game", max_seq_length=2048, )
- Xet hash:
- 1bd329a6bb180db981a310ea14157e2098b0e543c4a8043d7e94da09b384831f
- Size of remote file:
- 8.41 GB
- SHA256:
- b01ce9460994b318f5cd15d0851ef9946dbfd0f93d6fce7a9100be337cc156b4
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