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@ -237,7 +237,7 @@ You should see `nemotron-3-super:120b` in the output.
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This single command handles everything: installs Node.js (if needed), installs OpenShell, clones NemoClaw at the pinned stable release (`v0.0.1`), builds the CLI, and runs the onboard wizard to create a sandbox.
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```bash
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curl -fsSL https://www.nvidia.com/nemoclaw.sh | NEMOCLAW_INSTALL_TAG=v0.0.1 bash
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curl -fsSL https://www.nvidia.com/nemoclaw.sh | NEMOCLAW_INSTALL_TAG=v0.0.4 bash
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```
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The onboard wizard walks you through setup:
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@ -55,6 +55,7 @@ The following models are supported with vLLM on Spark. All listed models are ava
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| Model | Quantization | Support Status | HF Handle |
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|-------|-------------|----------------|-----------|
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| **Gemma 4 31B IT** | Base | ✅ | [`google/gemma-4-31B-it`](https://huggingface.co/google/gemma-4-31B-it) |
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| **Gemma 4 31B IT** | NVFP4 | ✅ | [`nvidia/Gemma-4-31B-IT-NVFP4`](https://huggingface.co/nvidia/Gemma-4-31B-IT-NVFP4) |
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| **Gemma 4 26B A4B IT** | Base | ✅ | [`google/gemma-4-26B-A4B-it`](https://huggingface.co/google/gemma-4-26B-A4B-it) |
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| **Gemma 4 E4B IT** | Base | ✅ | [`google/gemma-4-E4B-it`](https://huggingface.co/google/gemma-4-E4B-it) |
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| **Gemma 4 E2B IT** | Base | ✅ | [`google/gemma-4-E2B-it`](https://huggingface.co/google/gemma-4-E2B-it) |
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