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DarrenSuw
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Model Details
Model Provider
DarrenSuw
Model Tree
fdtn-ai/Foundation-Sec-8B
Input Modalities
Output Modalities
Supported Functionality
The model was evaluated against a held-out ATT&CK v15.1 corpus:
eval_loss: 0.2428)Full training dynamics and empirical validation are available in the Weights & Biases Report on GitHub.
Because this is a PEFT adapter, it must be loaded alongside the base model.
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModel base_model_id = "fdtn-ai/Foundation-Sec-8B"adapter_id = "DarrenSuw/logic-node-sec-8b-lora" tokenizer = AutoTokenizer.from_pretrained(base_model_id)base_model = AutoModelForCausalLM.from_pretrained(base_model_id, load_in_4bit=True)model = PeftModel.from_pretrained(base_model, adapter_id)