Model Detail

embeddinggemma-300m is a large language model with 151M parameters released by Google. The model is registered under the sentence-similarity pipeline tag on Hugging Face, released under the gemma license.

embeddinggemma-300m ships with 151M parameters. Access is gated on Hugging Face under the gemma license, which means a manual approval step before weights can be downloaded.

Downloads of embeddinggemma-300m have moved +1.3% over the past 24 hours, +84.0% 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.

embeddinggemma-300m 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.