Model Detail
privacy-filter
▲ 6.2%privacy-filter is a large language model with 700M parameters released by OpenAI. The model is registered under the token-classification pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
privacy-filter ships with 700M parameters. Total weight footprint is approximately 1.4 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Downloads of privacy-filter have moved +6.2% over the past 24 hours, +19.1% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
privacy-filter is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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