# Meta
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The following Meta models are available in Amazon Bedrock:


| **Model** | **Description** | 
| --- | --- | 
| [Llama 4 Maverick 17B Instruct](model-card-meta-llama-4-maverick-17b-instruct.md) | Llama 4 Maverick is Meta's 17-billion active parameter mixture-of-experts model with 128 experts, optimized for multimodal chat and instruction following. | 
| [Llama 4 Scout 17B Instruct](model-card-meta-llama-4-scout-17b-instruct.md) | Llama 4 Scout is Meta's 17-billion active parameter mixture-of-experts model with 16 experts and a 10M token context window for long-document tasks. | 
| [Llama 3.3 70B Instruct](model-card-meta-llama-3-3-70b-instruct.md) | Llama 3.3 70B Instruct is Meta's 70-billion parameter model with improved efficiency, delivering strong reasoning and coding performance with a 128K context window. | 
| [Llama 3.2 11B Instruct](model-card-meta-llama-3-2-11b-instruct.md) | Llama 3.2 11B Instruct is Meta's 11-billion parameter multimodal model that processes both text and images with a 128K context window. | 
| [Llama 3.2 1B Instruct](model-card-meta-llama-3-2-1b-instruct.md) | Llama 3.2 1B Instruct is Meta's ultra-lightweight 1-billion parameter model optimized for on-device and edge deployment. | 
| [Llama 3.2 3B Instruct](model-card-meta-llama-3-2-3b-instruct.md) | Llama 3.2 3B Instruct is Meta's 3-billion parameter lightweight model designed for on-device tasks like summarization and instruction following. | 
| [Llama 3.2 90B Instruct](model-card-meta-llama-3-2-90b-instruct.md) | Llama 3.2 90B Instruct is Meta's 90-billion parameter multimodal model that processes text and images for visual reasoning and document understanding. | 
| [Llama 3.1 405B Instruct](model-card-meta-llama-3-1-405b-instruct.md) | Llama 3.1 405B Instruct is Meta's largest open model with 405 billion parameters and a 128K context window, supporting tool use and multilingual tasks. | 
| [Llama 3.1 70B Instruct](model-card-meta-llama-3-1-70b-instruct.md) | Llama 3.1 70B Instruct is Meta's 70-billion parameter model with an extended 128K context window and support for tool use and code generation. | 
| [Llama 3.1 8B Instruct](model-card-meta-llama-3-1-8b-instruct.md) | Llama 3.1 8B Instruct is Meta's compact 8-billion parameter model with a 128K context window, suitable for edge deployment and fine-tuning. | 
| [Llama 3 70B Instruct](model-card-meta-llama-3-70b-instruct.md) | Llama 3 70B Instruct is Meta's 70-billion parameter instruction-tuned model with an 8K context window, optimized for dialogue and assistant-like tasks. | 
| [Llama 3 8B Instruct](model-card-meta-llama-3-8b-instruct.md) | Llama 3 8B Instruct is Meta's 8-billion parameter instruction-tuned model with an 8K context window, designed for efficient deployment on smaller infrastructure. |