---
license: apache-2.0
tags:
  - llama
  - llama-3
  - causal-lm
  - lora
  - fine-tuned
  - peft
  - syslog
  - network packet
base_model: meta-llama/Meta-Llama-3-8B
model_type: llama
---

# LlamaTrace (Merged LoRA + Base)


## Model Information

- **Base Model**: `meta-llama/Meta-Llama-3-8B`
- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
- **Training Objective**: Network traffic analysis, anomaly detection, syslog/pcap summarization
- **Tokenizer**: base model tokenizer

## How to use

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("choihyuunmin/LLaMa-PcapLog")
tokenizer = AutoTokenizer.from_pretrained("choihyuunmin/LLaMa-PcapLog")

input_text = "Anaylze below network packet : \n"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=128)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))