| # pip install synthetic-dataset-generator | |
| # ollama serve | |
| # ollama run llama3.1:8b-instruct-q8_0 | |
| import os | |
| from synthetic_dataset_generator import launch | |
| assert os.getenv("HF_TOKEN") # push the data to huggingface | |
| os.environ["OLLAMA_BASE_URL"] = "http://127.0.0.1:11434/" # ollama base url | |
| os.environ["MODEL"] = "llama3.1:8b-instruct-q8_0" # model id | |
| os.environ["TOKENIZER_ID"] = "meta-llama/Llama-3.1-8B-Instruct" # tokenizer id | |
| os.environ["MAGPIE_PRE_QUERY_TEMPLATE"] = "llama3" | |
| os.environ["MAX_NUM_ROWS"] = "10000" | |
| os.environ["DEFAULT_BATCH_SIZE"] = "5" | |
| os.environ["MAX_NUM_TOKENS"] = "1024" | |
| launch() | |