Model Detail

GLM-5.3-CYBERSECURITY-FP8 is a large language model with 376.7B parameters released by dealignai. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive mit license.

GLM-5.3-CYBERSECURITY-FP8 ships with 376.7B parameters. Total weight footprint is approximately 753.3 GB, which is the relevant figure when planning local-inference VRAM. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Downloads of GLM-5.3-CYBERSECURITY-FP8 have moved -3.9% over the past 24 hours, +14.4% over the trailing seven days. The trend is mildly positive, consistent with a model that is being picked up incrementally rather than going viral. 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.

GLM-5.3-CYBERSECURITY-FP8 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.