tags:
- text-generation
- log-generation
- logstash-pipeline
license: apache-2.0 Qwen2.5-7B-Loggenix Fine-tuned Qwen2.5-7B-Instruct for generating sample logs (e.g., syslog) and Logstash pipelines. Trained on a large dataset with max_seq_length=8096.
Usage python
from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("yourusername/qwen2.5-7b-loggenix") tokenizer = AutoTokenizer.from_pretrained("yourusername/qwen2.5-7b-loggenix") prompt = "Task: Generate sample logs\nInput: log_file_type=syslog, scenario=server error, num_events=3\nOutput:" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=100) print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Training Dataset: [Large custom log dataset]
Epochs: 5-6
Final Loss: ~0.7-1.0
Hardware: 6GB GPU, 64GB RAM
Quantization: 4-bit
license: apache-2.0
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