Muse Glimmer Cookbook (#34271)
Co-authored-by: Brayden Zhong <brayden.zhong@radixark.ai> Co-authored-by: Jimmy Shong <jimmysh341@gmail.com> Co-authored-by: Zijie Xia <zijie.xia@radixark.ai>
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Brayden Zhong
Jimmy Shong
Zijie Xia
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955569a2dc
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@@ -66,7 +66,7 @@ in the GitHub search bar.
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Llama** (2, 3.x, 4 series)</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`meta-llama/Llama-4-Scout-17B-16E-Instruct`</td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Meta's open LLM series, spanning 7B to 400B parameters (Llama 2, 3, and new Llama 4) with well-recognized performance. <a href="/cookbook/autoregressive/Llama/Llama4">SGLang provides Llama-4 model-specific optimizations</a></td>
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<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Meta's open LLM series, spanning 7B to 400B parameters (Llama 2, 3, and new Llama 4) with well-recognized performance. <a href="/cookbook/autoregressive/Meta/Llama4">SGLang provides Llama-4 model-specific optimizations</a></td>
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</tr>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Mistral** (Mixtral, NeMo, Small3)</td>
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