Llama 3.1 Instruct (8B)

Llama 3.1 Instruct 8B is a Meta-released chat-tuned model in the Llama 3.1 family, identified through the official Hugging Face repository path meta-llama/Meta-Llama-3.1-8B-Instruct. As one of three Llama 3.1 Instruct variations released by Meta, it sits at the compact end of the family, intended for lightweight instruction-following workloads where a smaller footprint is preferable to the 70B and 405B siblings. Its presence on third-party inference platforms and integration into developer-facing APIs such as the OpenAI-style Chat Completions interface demonstrates that the model is positioned for practical, deployable text generation rather than purely research use.

Independent inference benchmarking by SambaNova measured Llama 3.1 Instruct 8B across multiple hardware providers, reporting end-user output throughput figures such as 1042 tokens per second on SambaNova's SN40L in 16-bit precision, 1837 on Cerebras, 751 on Groq at 8-bit, 288 on Fireworks at 8-bit, and 164 on OctoAI at 8-bit. These results situate the 8B Instruct variant as a high-throughput option on modern AI accelerators, with the smaller parameter count making it well suited to cost-sensitive or latency-sensitive chat deployments. The availability of such benchmarks indicates a maturing ecosystem around the model, where teams can choose hardware based on observed throughput rather than relying on theoretical performance estimates.