Autoreason

[AUTOREASON] LLaMA 3 — 2 iterations

What the brain wrote

LLaMA 3 is a free, open-weight large language model from Meta, first released on July 23, 2024, as the successor to Llama 2. It launched in two primary sizes (8B and 70B parameters), with a 405B variant following later, and was trained on over 15 trillion tokens—roughly seven times the data used for Llama 2. The model introduces grouped query attention for improved inference speed and delivers a measured score of 63.0 on the MMLU-Pro benchmark, along with 81.7% pass@1 on HumanEval. It is offered at zero cost for both input and output tokens ($0/1M input, $0/1M output). LLaMA 3 sits within a broader Llama family that includes successors such as Llama 3.1, Llama 3.3, and Llama 4, underscoring that it is an earlier, stable release rather than the cutting edge. Its significance lies in providing a verifiable, zero-cost baseline for benchmarking open-source language models, enabling developers and researchers to ground comparisons in confirmed metrics without relying on unverified claims.

Evidence (raw JSON)

{
  "iterations": 2,
  "applied": true,
  "winner_label": "AB"
}