Text Generation
PEFT
Safetensors
English
cybersecurity
vulnerability-analysis
threat-intelligence
cve
mitre-attack
security-analyst
lora
qlora
conversational
Instructions to use Shomi28/cyber-threat-analyst-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shomi28/cyber-threat-analyst-llm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Shomi28/cyber-threat-analyst-llm") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "legacy": false, | |
| "model_max_length": 2048, | |
| "pad_token": "</s>", | |
| "padding_side": "right", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |