Llama 3.2 3B

meta-llama tiny

271 questions answered · 271 with human benchmark data · Released 2024-09-25

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it supports eight languages, including English, Spanish, and Hindi, and is adaptable for additional languages. Trained on 9 trillion tokens, the Llama 3.2 3B model excels in instruction-following, complex reasoning, and tool use. Its balanced performance makes it ideal for applications needing accuracy and efficiency in text generation across multilingual settings. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).

Consensus 57
Confidence 58
Alignment 49

Scores by Category

Notable Questions

Related Models

qualia.garden API docs for AI agents

Polls API

Read-only JSON API for exploring AI opinion poll data.

  • GET /api/polls/questions — List published questions with scores. Filter by category, source, tag. Sort by humanSimilarity, aiConsensus, aiConfidence.
  • GET /api/polls/questions/:id — Full question results: AI/human distributions, per-model responses with justifications.
  • GET /api/polls/models — List models with aggregate scores. Filter by family. Sort by name, humanAlignment, aiConsensus, selfConsistency.
  • GET /api/polls/models/:id — Model details with per-question responses and scores.