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Software decision profile

Llama 3.1 405B

Meta's open-weights behemoth.

AI Models & IntelligenceLlama 3.1 405BDecision profile Fathom Layer
Evidence statusSpecs not independently verifiedhuggingface.co
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Editorial assessment Software

Explore the trade-offs.

Where it stands outOpen weightsExplore strengths ↗Close details ↑
  • GPT-4 level reasoning
  • High context length (131072)
  • Large vocabulary size (128256)
What to weighRequires massive VRAM to run locallyExplore limitations ↗Close details ↑
  • Complex architecture with many parameters

Best suited toAdvanced NLP tasks · Research and development

Read at the source

What Llama 3.1 405B’s own pages state.

Each line was read on the vendor’s site and found word for word in the quoted page. It records what the vendor states, not a test by Fathom Layer.

Latest version
3.1huggingface.co Checked automatically ·
Release date
July 23, 2024huggingface.co Checked automatically ·
License
Llama 3.1 Community Licensehuggingface.co Checked automatically ·
Input modalities
Multilingual Texthuggingface.co Checked automatically ·
Output modalities
Multilingual Text and codehuggingface.co Checked automatically ·

Where it wins, where it doesn't

Pros

  • Open weights
  • GPT-4 level reasoning
  • High context length (131072)
  • Large vocabulary size (128256)

Cons

  • Requires massive VRAM to run locally
  • Complex architecture with many parameters
Ideal forAdvanced NLP tasksResearch and development

Editorial note

Llama 3.1 405B is a large-scale language model with extensive capabilities, featuring an architecture optimized for efficiency and performance. It supports a vast vocabulary and context length, making it suitable for a wide range of natural language processing tasks. However, its size and complexity necessitate significant computational resources for local execution.

Frequently Asked Questions

Who is Llama 3.1 405B for?↓
Llama 3.1 405B is a fit for advanced NLP tasks and Research and development.
What are the drawbacks of Llama 3.1 405B?↓
The trade-offs we record are: Requires massive VRAM to run locally and Complex architecture with many parameters.
What does Llama 3.1 405B do well?↓
Open weights, GPT-4 level reasoning, High context length (131072) and Large vocabulary size (128256).

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