gemma-3-12b-logql-finetune-transformer

Fine-tuned Gemma 3 12B for LogQL Query Generation [Standard HF]

This model is fine-tuned from Google's Gemma 3 12B to generate LogQL queries from natural language descriptions.

Model Information

• Base Model: google/gemma-3-12b-it
• Architecture: Gemma3
• Format: Standard Hugging Face / Transformers
• Use Case: LogQL query generation

Training Details

• Base model: google/gemma-3-12b-it
• Fine-tuned for LogQL query generation
• Trained on custom generated dataset (15000 samples, 5 epochs)

Usage with Hugging Face Transformers

This model can be loaded directly using the transformers library.

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "NiekWork/gemma-3-12b-logql-finetune-transformer"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16)

prompt = "find the 5xx errors from the last 1 hour"
input_ids = tokenizer(prompt, return_tensors="pt").input_ids

# Generate text
output = model.generate(input_ids, max_new_tokens=100)
print(tokenizer.decode(output[0], skip_special_tokens=True))

Files

This repository contains standard Hugging Face files:

• config.json - Model configuration
• model.safetensors or pytorch_model.bin - Model weights
• tokenizer.json and tokenizer_config.json - Tokenizer files

License

This model is released under the Apache 2.0 license.