Hier eure Region wählen:

Hf_hub_download Timeout ^hot^ đź”–

import os os.environ["HF_HUB_DOWNLOAD_TIMEOUT"] = "60" os.environ["HF_HUB_ETAG_TIMEOUT"] = "60" Use code with caution. 2. Use High-Performance Downloaders (Xet)

For very large repositories, Hugging Face has migrated to high-performance backends like . This backend is designed for better throughput and concurrency. If your downloads are stalling, ensure Xet is properly configured or try disabling it if it misbehaves in your specific environment.

Several factors can lead to a timeout during the download process: hf_hub_download timeout

By default, huggingface_hub uses a relatively short 10-second timeout for both metadata (ETag) fetching and file data streaming.

Massive models (70B+ parameters) require maintaining stable connections for extended periods, making them susceptible to silent TCP drops or server-side resets. import os os

# In your terminal export HF_HUB_DOWNLOAD_TIMEOUT=60 export HF_HUB_ETAG_TIMEOUT=60 Use code with caution. Or within a Python script:

High-traffic environments, such as multi-worker training jobs, may cause workers to compete for bandwidth, leading to individual connection failures. This backend is designed for better throughput and

: Defines the seconds to wait when fetching initial repository metadata. Implementation: