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[Doc] Update notes (#20668)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
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@ -41,7 +41,8 @@ vllm-deployment-router-859d8fb668-2x2b7 1/1 Running 0 2m38
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vllm-opt125m-deployment-vllm-84dfc9bd7-vb9bs 1/1 Running 0 2m38s
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```
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**NOTE**: It may take some time for the containers to download the Docker images and LLM weights.
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!!! note
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It may take some time for the containers to download the Docker images and LLM weights.
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### Send a Query to the Stack
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@ -149,6 +150,8 @@ In this YAML configuration:
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* **`requestGPU`**: Specifies the number of GPUs required.
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* **`pvcStorage`**: Allocates persistent storage for the model.
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**NOTE:** If you intend to set up two pods, please refer to this [YAML file](https://github.com/vllm-project/production-stack/blob/main/tutorials/assets/values-01-2pods-minimal-example.yaml).
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!!! note
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If you intend to set up two pods, please refer to this [YAML file](https://github.com/vllm-project/production-stack/blob/main/tutorials/assets/values-01-2pods-minimal-example.yaml).
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**NOTE:** vLLM production stack offers many more features (*e.g.* CPU offloading and a wide range of routing algorithms). Please check out these [examples and tutorials](https://github.com/vllm-project/production-stack/tree/main/tutorials) and our [repo](https://github.com/vllm-project/production-stack) for more details!
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!!! tip
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vLLM production stack offers many more features (*e.g.* CPU offloading and a wide range of routing algorithms). Please check out these [examples and tutorials](https://github.com/vllm-project/production-stack/tree/main/tutorials) and our [repo](https://github.com/vllm-project/production-stack) for more details!
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@ -299,20 +299,17 @@ Limitations:
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Example supported models:
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* `meta-llama/Llama-3.2-1B-Instruct`\* (use with <gh-file:examples/tool_chat_template_llama3.2_pythonic.jinja>)
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* `meta-llama/Llama-3.2-3B-Instruct`\* (use with <gh-file:examples/tool_chat_template_llama3.2_pythonic.jinja>)
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* `meta-llama/Llama-3.2-1B-Instruct` ⚠️ (use with <gh-file:examples/tool_chat_template_llama3.2_pythonic.jinja>)
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* `meta-llama/Llama-3.2-3B-Instruct` ⚠️ (use with <gh-file:examples/tool_chat_template_llama3.2_pythonic.jinja>)
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* `Team-ACE/ToolACE-8B` (use with <gh-file:examples/tool_chat_template_toolace.jinja>)
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* `fixie-ai/ultravox-v0_4-ToolACE-8B` (use with <gh-file:examples/tool_chat_template_toolace.jinja>)
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* `meta-llama/Llama-4-Scout-17B-16E-Instruct`\* (use with <gh-file:examples/tool_chat_template_llama4_pythonic.jinja>)
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* `meta-llama/Llama-4-Maverick-17B-128E-Instruct`\* (use with <gh-file:examples/tool_chat_template_llama4_pythonic.jinja>)
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* `meta-llama/Llama-4-Scout-17B-16E-Instruct` ⚠️ (use with <gh-file:examples/tool_chat_template_llama4_pythonic.jinja>)
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* `meta-llama/Llama-4-Maverick-17B-128E-Instruct` ⚠️ (use with <gh-file:examples/tool_chat_template_llama4_pythonic.jinja>)
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Flags: `--tool-call-parser pythonic --chat-template {see_above}`
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---
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**WARNING**
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Llama's smaller models frequently fail to emit tool calls in the correct format. Your mileage may vary.
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---
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!!! warning
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Llama's smaller models frequently fail to emit tool calls in the correct format. Your mileage may vary.
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## How to write a tool parser plugin
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@ -573,7 +573,7 @@ Specified using `--task generate`.
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| `GLM4VForCausalLM`<sup>^</sup> | GLM-4V | T + I | `THUDM/glm-4v-9b`, `THUDM/cogagent-9b-20241220`, etc. | ✅︎ | ✅︎ | ✅︎ |
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| `Glm4vForConditionalGeneration` | GLM-4.1V-Thinking | T + I<sup>E+</sup> + V<sup>E+</sup> | `THUDM/GLM-4.1V-9B-Thinkg`, etc. | ✅︎ | ✅︎ | ✅︎ |
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| `GraniteSpeechForConditionalGeneration` | Granite Speech | T + A | `ibm-granite/granite-speech-3.3-8b` | ✅︎ | ✅︎ | ✅︎ |
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| `H2OVLChatModel` | H2OVL | T + I<sup>E+</sup> | `h2oai/h2ovl-mississippi-800m`, `h2oai/h2ovl-mississippi-2b`, etc. | | ✅︎ | ✅︎\* |
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| `H2OVLChatModel` | H2OVL | T + I<sup>E+</sup> | `h2oai/h2ovl-mississippi-800m`, `h2oai/h2ovl-mississippi-2b`, etc. | | ✅︎ | ✅︎ |
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| `Idefics3ForConditionalGeneration` | Idefics3 | T + I | `HuggingFaceM4/Idefics3-8B-Llama3`, etc. | ✅︎ | | ✅︎ |
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| `InternVLChatModel` | InternVL 3.0, InternVideo 2.5, InternVL 2.5, Mono-InternVL, InternVL 2.0 | T + I<sup>E+</sup> + (V<sup>E+</sup>) | `OpenGVLab/InternVL3-9B`, `OpenGVLab/InternVideo2_5_Chat_8B`, `OpenGVLab/InternVL2_5-4B`, `OpenGVLab/Mono-InternVL-2B`, `OpenGVLab/InternVL2-4B`, etc. | ✅︎ | ✅︎ | ✅︎ |
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| `KeyeForConditionalGeneration` | Keye-VL-8B-Preview | T + I<sup>E+</sup> + V<sup>E+</sup> | `Kwai-Keye/Keye-VL-8B-Preview` | | | ✅︎ |
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@ -599,7 +599,7 @@ Specified using `--task generate`.
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| `Qwen2AudioForConditionalGeneration` | Qwen2-Audio | T + A<sup>+</sup> | `Qwen/Qwen2-Audio-7B-Instruct` | | ✅︎ | ✅︎ |
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| `Qwen2VLForConditionalGeneration` | QVQ, Qwen2-VL | T + I<sup>E+</sup> + V<sup>E+</sup> | `Qwen/QVQ-72B-Preview`, `Qwen/Qwen2-VL-7B-Instruct`, `Qwen/Qwen2-VL-72B-Instruct`, etc. | ✅︎ | ✅︎ | ✅︎ |
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| `Qwen2_5_VLForConditionalGeneration` | Qwen2.5-VL | T + I<sup>E+</sup> + V<sup>E+</sup> | `Qwen/Qwen2.5-VL-3B-Instruct`, `Qwen/Qwen2.5-VL-72B-Instruct`, etc. | ✅︎ | ✅︎ | ✅︎ |
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| `Qwen2_5OmniThinkerForConditionalGeneration` | Qwen2.5-Omni | T + I<sup>E+</sup> + V<sup>E+</sup> + A<sup>+</sup> | `Qwen/Qwen2.5-Omni-7B` | | ✅︎ | ✅︎\* |
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| `Qwen2_5OmniThinkerForConditionalGeneration` | Qwen2.5-Omni | T + I<sup>E+</sup> + V<sup>E+</sup> + A<sup>+</sup> | `Qwen/Qwen2.5-Omni-7B` | | ✅︎ | ✅︎ |
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| `SkyworkR1VChatModel` | Skywork-R1V-38B | T + I | `Skywork/Skywork-R1V-38B` | | ✅︎ | ✅︎ |
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| `SmolVLMForConditionalGeneration` | SmolVLM2 | T + I | `SmolVLM2-2.2B-Instruct` | ✅︎ | | ✅︎ |
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| `TarsierForConditionalGeneration` | Tarsier | T + I<sup>E+</sup> | `omni-search/Tarsier-7b`, `omni-search/Tarsier-34b` | | ✅︎ | ✅︎ |
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