Text Generation
PEFT
Safetensors
llama
grpo
reinforcement-learning
devops
incident-response
openenv
unsloth
conversational
Instructions to use Arijit-07/aria-devops-llama8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Arijit-07/aria-devops-llama8b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Arijit-07/aria-devops-llama8b 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 Arijit-07/aria-devops-llama8b 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 Arijit-07/aria-devops-llama8b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Arijit-07/aria-devops-llama8b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Arijit-07/aria-devops-llama8b", max_seq_length=2048, )
| base_model: unsloth/Meta-Llama-3.1-8B-Instruct | |
| library_name: peft | |
| pipeline_tag: text-generation | |
| tags: | |
| - grpo | |
| - reinforcement-learning | |
| - devops | |
| - incident-response | |
| - openenv | |
| - unsloth | |
| # ARIA — DevOps Incident Response Agent | |
| ### Llama-3.1-8B fine-tuned with GRPO | |
| Trained on the [ARIA DevOps Incident Response](https://huggingface.co/spaces/Arijit-07/devops-incident-response) | |
| live RL environment using GRPO. | |
| ## Training Results | |
| | Task | Baseline | Fine-tuned | Improvement | | |
| |---|---|---|---| | |
| | easy | 0.320 | 0.685 | **+0.365** | | |
| | medium | 0.050 | 0.378 | **+0.328** | | |
| | hard | 0.190 | 0.869 | **+0.679** | | |
| | bonus | 0.152 | 0.682 | **+0.530** | | |
|  | |
| ## Setup | |
| - Algorithm: GRPO | |
| - Base: Llama-3.1-8B-Instruct | |
| - LoRA rank: 32, alpha: 64 | |
| - Episodes: 160 (40 per task) | |
| - GPU: NVIDIA L4, 162 minutes | |
| - Framework: Unsloth + HuggingFace TRL | |
| ## Links | |
| - Environment: https://huggingface.co/spaces/Arijit-07/devops-incident-response | |
| - GitHub: https://github.com/Twilight-13/devops-incident-response |