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
Download tokenizer.json from dpevzner/CyberOps_Mistral_7B_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 3.67 MB
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https://huggingface.co/dpevzner/CyberOps_Mistral_7B_LoRA/resolve/main/tokenizer.json
- Command line
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hf download hf://dpevzner/CyberOps_Mistral_7B_LoRA/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dpevzner/CyberOps_Mistral_7B_LoRA/resolve/main/tokenizer.json
3.67 MB
File too large to display, you can check the raw version instead.