Meta AILlama 3.1 8B Instruct
Meta AI's Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue use cases, with capabilities including function calling, JSON mode, reasoning, streaming, and text generation. It is notable for its use of an optimized transformer architecture with supervised fine-tuning and reinforcement learning with human feedback, and its large context window of 131,072 tokens.
Input
Output
Context
131K
Max Output
4K
Parameters
8B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Served variants
The same model in other encodings or serving configurations. Requesting meta-llama-3-1-8b-instruct lets routing pick among them; the ids below pin one build.
meta-llama-3-1-8b-instruct:turbooptimized
Benchmarks
Resources & Links
Estimated GPU requirements for Llama 3.1 8B Instruct
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Llama 3.1 8B Instruct
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Llama 3.1 8B Instruct advertises a context window of 131,072 tokens, with a maximum output of 4,096 tokens in a single response. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
Yes. Llama 3.1 8B Instruct is an open-weight model released under the Llama3.1 license, so the weights can be downloaded and self-hosted within that license's terms.
Llama 3.1 8B Instruct accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Llama 3.1 8B Instruct has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Llama 3.1 8B Instruct is shown as not available rather than estimated.
Yes. Llama 3.1 8B Instruct is served on the managed pool through the OpenAI-compatible endpoint as meta-llama-3-1-8b-instruct, pinned by name or chosen by routing when it is the best fit for a request. The Try in Playground button opens it directly.
About 8.3 GB at INT8 for the weights and a default context, from the catalog's 8B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 6, 2026
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