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Check exact model cardOpen weights where releasedUpdated August 2026

Llama 3.1 405B Instruct

Large Llama 3.1 instruct model for teams evaluating high-capacity open-weight assistant deployments.

Meta · Llama

Editorial review

Reviewed byOpenSourcesAI EditorialLast updatedAugust 2026SourcesHugging Face model card (meta-llama/Llama-3.1-405B-Instruct), Hugging Face

Model checkpoints, context windows, provider support, local runtime compatibility, and license terms can change quickly. Verify the exact model card before production or commercial use.

Best for

Server-class assistant evaluation and comparisons against smaller Llama variants.

Who should use it

  • Server-class assistant evaluation and comparisons against smaller Llama variants.
  • Teams with access to hosted inference or server-class deployment paths.

Common workflows

  • Large open-weight assistant evaluation
  • chat workflows
  • large workflows
  • open weights workflows

Deployment and hardware notes

Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.

License and usage notes

Check exact model card. Open weights where released. Verify the exact model card and license terms for the checkpoint or hosted provider you use.

Strengths

  • Open weights where released model option for Llama workflows.
  • Server-class assistant evaluation and comparisons against smaller Llama variants.

Limitations

  • Verify license, deployment requirements, runtime support, and fit on your own workload before production use.
  • Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.
  • Context window and limits: 131,072 tokens (RoPE-extended).
  • Verify the exact model card, provider docs, license, and serving support before production use.

Sources to verify

Hugging Face model card (meta-llama/Llama-3.1-405B-Instruct)Hugging Face

Related resources

Continue with model source notes, local tools, and implementation guides related to this model.

Llama family hubBest local LLM toolsPrivate local chatbot stackOllama + Open WebUI starter stackModels directory
Hardware~246.1 GB at Q4_K_M (405.9B parameters) — server class, not a single-GPU modelRuntimeOllama or LM Studio where supported, llama.cpp, Transformers, vLLMContext131,072 tokens (RoPE-extended)Last updated2026
Hugging Face model card (meta-llama/Llama-3.1-405B-Instruct) →

Model ecosystem connections

Use these next-step links to move from this profile into related tools, comparisons, guides, stacks, and curated shortlists.

Recommended runtimes and tools

Ollama →LM Studio →llama.cpp →Transformers →vLLM →

Setup and deployment

What is quantization? GGUF, Q4, Q8 explained →RunPod — managed GPU cloud →Lambda Labs — A100 / H100 on demand →Vast.ai — crowdsourced GPU marketplace →

Related model pages

Llama family hub →Llama 3.1 70B Instruct →Llama 3.1 8B Instruct →Llama 3.2 Vision →Llama 3.3 70B Instruct →Llama 3.3 70B →Llama 3 8B →

Guides, stacks, and comparisons

Best local LLM tools →Private local chatbot stack →Ollama + Open WebUI starter stack →All model comparisons →

Related models

Llama 3.1 70B InstructTeams comparing widely supported Llama-family 70B-class models.Llama 3.1 8B InstructLocal prototypes, small assistants, and lower-resource evaluation.Llama 3.2 VisionVision-language experiments, screenshot reasoning, and multimodal app prototypes.Llama 3.3 70B InstructGeneral assistant workflows, app prototypes, and Llama-family baseline comparisons.Llama 3.3 70B70B open-weight model in the Llama family.Llama 3 8B8B open-weight model in the Llama family.

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