Text Generation
PEFT
Safetensors
English
cybersecurity
lora
mistral
security-operations
threat-analysis
dual-use-detection
it-operations
conversational
Instructions to use dpevzner/CyberOps_Mistral_7B_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dpevzner/CyberOps_Mistral_7B_LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "dpevzner/CyberOps_Mistral_7B_LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 830a542eff3fdfc73f563a541d0287b4ecff6ecce7ad07edaa5391bbb1da8195
- Size of remote file:
- 5.5 kB
- SHA256:
- 183da78f2b91f0f88eb543a917e7707ca1073512f1b342aaba09d130f8af0486
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