multimodalart HF Staff commited on
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Scope the download command to the original checkpoint folders

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With the diffusers weights merged, the bare `hf download` now fetches both formats, roughly double the bytes. This scopes the documented command to `FL2VA/` and `Ref2VA/` with `--include` patterns, shows the single family variant, and notes that diffusers loading needs no manual download at all.

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  1. README.md +8 -2
README.md CHANGED
@@ -192,12 +192,18 @@ Each checkpoint is distributed as a self\-contained Hugging Face\-style reposito
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  └── audio_vae/
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  ```
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- Download the model:
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  ```bash
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- hf download MiniMaxAI/MiniMax-H3 --local-dir MiniMax-H3
 
 
 
 
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  ```
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  We recommend the following inference frameworks to serve the model:
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  - [SGLang](https://docs.sglang.io/) \- see [cookbook](https://docs.sglang.io/cookbook/diffusion/MiniMax/MiniMax-H3)
 
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  └── audio_vae/
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  ```
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+ Download the model. The repository hosts the original checkpoint (`FL2VA/`, `Ref2VA/`) and the diffusers format side by side, so scope the download to what your framework needs:
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  ```bash
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+ # Original checkpoint, both task families (SGLang, vLLM, ComfyUI):
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+ hf download MiniMaxAI/MiniMax-H3 --include "FL2VA/*" "Ref2VA/*" --local-dir MiniMax-H3
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+
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+ # Or a single task family:
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+ hf download MiniMaxAI/MiniMax-H3 --include "FL2VA/*" --local-dir MiniMax-H3
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  ```
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+ diffusers users do not need a manual download: `ModularPipeline.from_pretrained("MiniMaxAI/MiniMax-H3")` fetches exactly the components it needs.
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+
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  We recommend the following inference frameworks to serve the model:
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  - [SGLang](https://docs.sglang.io/) \- see [cookbook](https://docs.sglang.io/cookbook/diffusion/MiniMax/MiniMax-H3)