rag-api-node-1 / download_models.py
Peterase's picture
fix: use snapshot_download to avoid OOMKilled during model pre-cache build step
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import os
import sys
def download():
print("--- STARTING MODEL PRE-CACHE (file-only download) ---")
# Use snapshot_download to pull files WITHOUT loading model into RAM.
# Loading BGEM3FlagModel() during build causes OOMKilled on HF Spaces
# because the build container has very limited memory.
try:
from huggingface_hub import snapshot_download
except ImportError:
print("huggingface_hub not available, skipping pre-cache")
return
# 1. BGE-M3 β€” download files only, no model instantiation
model_name = "BAAI/bge-m3"
print(f"Downloading files for {model_name}...")
try:
snapshot_download(
repo_id=model_name,
repo_type="model",
ignore_patterns=["*.msgpack", "*.h5", "flax_model*", "tf_model*", "rust_model*"],
)
print(f"βœ“ Files cached: {model_name}")
except Exception as e:
print(f"Warning: could not pre-cache {model_name}: {e}")
# 2. Reranker β€” download files only
reranker_name = "cross-encoder/ms-marco-TinyBERT-L-2-v2"
print(f"Downloading files for {reranker_name}...")
try:
snapshot_download(
repo_id=reranker_name,
repo_type="model",
ignore_patterns=["*.msgpack", "*.h5", "flax_model*", "tf_model*"],
)
print(f"βœ“ Files cached: {reranker_name}")
except Exception as e:
print(f"Warning: could not pre-cache {reranker_name}: {e}")
print("--- PRE-CACHE COMPLETE ---")
if __name__ == "__main__":
download()