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Model details

Llama 3.1 8B Instruct

Meta-Llama-3.1-8B-Instruct is the 8-billion-parameter entry in the Llama 3.1 family of instruction-tuned generative language models, released by Meta as part of a multilingual collection offered in 8B, 70B, and 405B sizes. The 8B variant is a text-in, text-out chat model designed and optimized for multilingual dialogue use cases rather than for general pretraining-style completions, and it carries the alignment improvements that distinguish the Instruct versions from their base counterparts. This positioning makes it a natural fit for assistants, customer support agents, content generation, and multilingual Q&A where a compact open model is preferred over larger closed alternatives.

According to Meta's own description, the Llama 3.1 instruction-tuned text-only models are optimized to outperform many available open source and closed chat models on common industry benchmarks, signaling competitive quality at the smaller end of the family. The 8B Instruct version is therefore best understood as a lightweight, dialogue-focused workhorse: it inherits the same multilingual pretraining and post-training recipe as its larger siblings while remaining efficient enough to deploy on modest hardware. Teams that want a familiar, broadly compatible Llama 3.1 chat model with a permissive footprint will find it well suited to production assistants, retrieval-augmented generation pipelines, and multilingual content workflows.

Nvidiameta/llama-3.1-8b-instructllamadeprecated

Quick Info

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Provider
Nvidia
Model key
meta/llama-3.1-8b-instruct
Release date
Jan 1, 2025
Last updated
Jan 1, 2025
Knowledge cutoff
2023-12
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
4,096 tokens
Context window
16,000 tokens

Latest news about Llama 3.1 8B Instruct

Nvidia

Official source

An NVIDIA developer-forum thread dated August 27, 2026 reports that meta/llama-3.1-8b-instruct is no longer supported, with user lukepora asking which model to substitute in NVIDIA's "Building LLM Applications With Prompt Engineering" course. The thread is a community post rather than an official NVIDIA deprecation ann Corroborating signals from the supplied evidence are weak: the build.nvidia.com modelcard URL for this model returns a 404, and no official NVIDIA NIM release-notes entry explicitly marks the model as deprecated. The claim should therefore be treated as a user-reported deprecation signal pending an official announcemen

Nvidia

Official sourceRelease Notes

The NVIDIA NIM for Large Language Models 1.8.0 release notes contain a model-specific known-issues entry for Llama 3.1 8B Instruct that is directly relevant to developers deploying this model via NVIDIA's hosted NIM. The notes document three concrete behavioral caveats: pre-built LoRA-enabled engine profiles exhibit wo Users who prioritize latency are advised to switch to the vLLM fallback for LoRA profiles, and operators seeing stalls under ignore_eos conditions are directed to reduce concurrency. The page is hosted on docs.nvidia.com under the official NIM documentation and lists other cross-model known issues (vLLM not supported o

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