Research Note

Llama 3.1 Variant Selection Record

The official Llama 3.1 release includes 8B, 70B, and 405B parameter scales, with pretrained and instruction-tuned forms. The model card records supported languages, conte

Aug 4, 20261 min readBy Dalton Anderson

Source conversation

Unlocking the Power of Open-Source AI: Exploring Meta's Llama 3.1 Release

Summary Meta's Llama 3.1 is an open-source AI model that allows users to download and run it on their own infrastructure. It has a 405 billion parameter model with an increased context window of 128K, allowing for more complex conversations and accurate responses. The model supports up to eight languages and provides features like multi-language support and translation. Meta spent around $600 million on training the model and made it available for free to empower users and organizations. The release of Llama 3.1 marks the first open-source frontier model. Users can download the model and use it with partners like Databricks and NVIDIA, who offer a full suite of tools and functions to customize and integrate the model into various projects. Safety features like Llama Guard and Prompt Guard are also available to prevent misuse and gaming of the system. The conversation explores the benefits and importance of open source AI models, such as Llama, developed by Meta.

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Llama 3.1 Variant Selection Record

The official Llama 3.1 release includes 8B, 70B, and 405B parameter scales, with pretrained and instruction-tuned forms. The model card records supported languages, context, intended use, architecture, evaluation, and safety information.

Selection must begin with a bounded workload and matched evaluation. Record exact model identity, base or instruct form, source, files, hashes, tokenizer, prompt format, precision, quantization, conversion, runtime, hardware, context, quality, latency, throughput, cost, safety, and license.

A larger parameter count is not an automatic deployment recommendation. A third-party conversion or quantization is a distinct artifact.

Sources

Follow the evidence.

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huggingface.co: modelshuggingface.co
NIST AI Risk Management Frameworknist.gov
genai.owasp.org: owasp top 10 for llm applications 2025genai.owasp.org
huggingface.co: model memory anatomyhuggingface.co
youtu.be: gg2I5iO1x0oyoutu.be
github.com: MODEL CARDgithub.com
daltonanderson.ghost.io: unlocking llama 3 1 metas open source ai revolutiondaltonanderson.ghost.io
Meta Llama models repositorygithub.com
cloud.google.com: prompt design strategiescloud.google.com
docs.nvidia.com: benchmarkingdocs.nvidia.com
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opensource.org: open source ai definitionopensource.org
github.com: USE POLICYgithub.com
github.com: LICENSEgithub.com
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