Text Generation
Safetensors
English
qwen3
reinforcement-learning
grpo
infrastructure-management
sre
kubernetes
lora
unsloth
trl
conversational
Instructions to use Naseer-010/Qwen3-8B-Finetuned-DIME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use Naseer-010/Qwen3-8B-Finetuned-DIME 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 Naseer-010/Qwen3-8B-Finetuned-DIME 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 Naseer-010/Qwen3-8B-Finetuned-DIME to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Naseer-010/Qwen3-8B-Finetuned-DIME to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Naseer-010/Qwen3-8B-Finetuned-DIME", max_seq_length=2048, )

- Xet hash:
- a10667587c0aa859e034a5b1b9ee235dc87bf40256437603cb7e05a7a6856cee
- Size of remote file:
- 209 kB
- SHA256:
- e79bca799187bb08e22c0f1530ba42772c87c69ccec52cd8f28d2d8123ec3002
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