Model ID
meta-llama/Llama-4-Scout-17B-16E-Instruct
Capabilities
Llama 4 Scout 17B 16E Instruct
Llama 4 Scout 17B 16E Instruct is an instruction-tuned, natively multimodal auto-regressive model developed by Meta, built on a mixture-of-experts architecture with 17B activated parameters (109B total). Designed for assistant-style and vision-language workloads, it supports multilingual text and image inputs and produces multilingual text and code outputs. The model features a native 10 million token context window, enabling extremely long-context analysis across documents, conversations, and multimodal inputs. It was trained on a mixture of publicly available and licensed data, including data from Meta’s products, with a knowledge cutoff of August 2024, and officially released on April 5, 2025.
About this model
Llama 4 Scout 17B 16E Instruct is an instruction-tuned, natively multimodal auto-regressive model developed by Meta, built on a mixture-of-experts architecture with 17B activated parameters (109B total). Designed for assistant-style and vision-language workloads, it supports multilingual text and image inputs and produces multilingual text and code outputs. The model features a native 10 million token context window, enabling extremely long-context analysis across documents, conversations, and multimodal inputs. It was trained on a mixture of publicly available and licensed data, including data from Meta’s products, with a knowledge cutoff of August 2024, and officially released on April 5, 2025.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (meta-llama/Llama-4-Scout-17B-16E-Instruct). Released under Llama4. Further reading: Blog
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Hardware
MI325X
2,048 GB
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on MI325X · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
AMD Instinct MI325X
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