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Fix some issues with current docs. (#6588)

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simveit
2025-05-25 19:04:34 +02:00
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commit e235be16fe
7 changed files with 18 additions and 23 deletions
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4
docs/backend/openai_api_embeddings.ipynb
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@@ -9,9 +9,7 @@
"SGLang provides OpenAI-compatible APIs to enable a smooth transition from OpenAI services to self-hosted local models.\n",
"A complete reference for the API is available in the [OpenAI API Reference](https://platform.openai.com/docs/guides/embeddings).\n",
"\n",
"This tutorial covers the embedding APIs for embedding models, such as \n",
"- [intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) \n",
"- [Alibaba-NLP/gte-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) \n"
"This tutorial covers the embedding APIs for embedding models. For a list of the supported models see the [corresponding overview page](https://docs.sglang.ai/supported_models/embedding_models.html)\n"
]
},
{

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docs/backend/openai_api_vision.ipynb
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@@ -10,13 +10,7 @@
"A complete reference for the API is available in the [OpenAI API Reference](https://platform.openai.com/docs/guides/vision).\n",
"This tutorial covers the vision APIs for vision language models.\n",
"\n",
"SGLang supports various vision language models such as Llama 3.2, LLaVA-OneVision, Qwen2.5-VL, Gemma3 and [more](https://docs.sglang.ai/supported_models/multimodal_language_models): \n",
"- [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) \n",
"- [lmms-lab/llava-onevision-qwen2-72b-ov-chat](https://huggingface.co/lmms-lab/llava-onevision-qwen2-72b-ov-chat) \n",
"- [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)\n",
"- [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it)\n",
"- [openbmb/MiniCPM-V](https://huggingface.co/openbmb/MiniCPM-V)\n",
"- [deepseek-ai/deepseek-vl2](https://huggingface.co/deepseek-ai/deepseek-vl2)\n",
"SGLang supports various vision language models such as Llama 3.2, LLaVA-OneVision, Qwen2.5-VL, Gemma3 and [more](https://docs.sglang.ai/supported_models/multimodal_language_models).\n",
"\n",
"As an alternative to the OpenAI API, you can also use the [SGLang offline engine](https://github.com/sgl-project/sglang/blob/main/examples/runtime/engine/offline_batch_inference_vlm.py)."
]