Meta: Llama 3.2 3B Instruct
By Meta Llama
Released: 2024-09-25
Meta Llama Llama 3 2 3B Instruct, developed by Meta, features 3B parameters and 131k-token context window. Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimised 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/). Priced affordably at $0.02/1M tokens.
Visit Meta: Llama 3.2 3B InstructAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Meta Llama Model Timeline
164k tokens context
1,049k tokens context
328k tokens context
131k tokens context
131k tokens context
131k tokens context
131k tokens context
131k tokens context
60k tokens context
131k tokens context
33k tokens context
16k tokens context
131k tokens context
10k tokens context
131k tokens context
8k tokens context
8k tokens context
8k tokens context
Specifications
AI Evaluation
Compact but capable, this reasoning-focused model handles complex logical tasks efficiently. A good balance of analytical power and resource efficiency.
Pros
- Budget-friendly at $0.02/1M tokens
- 131k token context window
- Lightweight and efficient
- Advanced logical reasoning
Cons
- Limited depth on complex topics
- API integration required
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