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docs(cookbook): port popular model usage guides into cookbook pages (#25813)

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Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: zijiexia <37504505+zijiexia@users.noreply.github.com>
Co-authored-by: Zijie Xia <zijie.xia@radixark.ai>
This commit is contained in:
Prabhu Prakash Kagitha
2026-06-01 17:41:49 -07:00
committed by GitHub
co-authored by Claude Sonnet 4.6 zijiexia Zijie Xia
parent 5e63200064
commit 98a1b58c47
47 changed files with 1262 additions and 2154 deletions
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docs_new/docs/supported-models/generative_models.mdx
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@@ -41,7 +41,7 @@ in the GitHub search bar.
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**DeepSeek** (v1, v2, v3/R1)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`deepseek-ai/DeepSeek-R1`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Series of advanced reasoning-optimized models (including a 671B MoE) trained with reinforcement learning; top performance on complex reasoning, math, and code tasks. <a href="../basic_usage/deepseek_v3">SGLang provides Deepseek v3/R1 model-specific optimizations</a> and <a href="../advanced_features/separate_reasoning">Reasoning Parser</a></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Series of advanced reasoning-optimized models (including a 671B MoE) trained with reinforcement learning; top performance on complex reasoning, math, and code tasks. <a href="/cookbook/autoregressive/DeepSeek/DeepSeek-V3">SGLang provides Deepseek v3/R1 model-specific optimizations</a> and <a href="../advanced_features/separate_reasoning">Reasoning Parser</a></td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Kimi K2** (Thinking, Instruct)</td>
@@ -66,7 +66,7 @@ in the GitHub search bar.
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Llama** (2, 3.x, 4 series)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`meta-llama/Llama-4-Scout-17B-16E-Instruct`</td>
<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="../basic_usage/llama4">SGLang provides Llama-4 model-specific optimizations</a></td>
<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>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>**Mistral** (Mixtral, NeMo, Small3)</td>