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Updated blog images and card image.
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MaanavD committed Nov 29, 2023
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8 changes: 4 additions & 4 deletions src/routes/blogs/accelerating-llama-2/+page.svelte
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/>
<meta property="og:type" content="article" />
<meta property="og:url" content="https://onnxruntime.ai/blogs/accelerating-llama-2" />
<meta property="og:image" content={figure5} />
<meta property="og:image" content={figure1b} />
<meta property="og:site_name" content="ONNX Runtime" />
<meta name="twitter:card" content={figure5} />
<meta name="twitter:card" content={figure1b} />
<meta name="twitter:title" content="Accelerating LLaMA-2 Inference with ONNX Runtime" />
<meta
name="twitter:description"
content="Explore how ONNX Runtime can propel your Llama2 variants for faster inference."
/>
<meta name="twitter:image" content={figure5} />
<meta name="twitter:image" content={figure1b} />
</svelte:head>
<Header pathvar="" />
<div class="container mx-auto px-4 md:px-8 lg:px-48 pt-8">
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<p class="mb-4">
Token generation throughput below is the average throughput of the first 256 tokens generated.
We see up to ~1.4X (7B) and ~1.7X (13B) gains in token generation throughput when compared to
We see up to ~1.3X (7B) and ~1.5X (13B) gains in token generation throughput when compared to
PyTorch compile mode.
</p>

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