Instructions to use VextLabsinc/gem-ruby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VextLabsinc/gem-ruby with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("VextLabsinc/juwel-beryl") model = PeftModel.from_pretrained(base_model, "VextLabsinc/gem-ruby") - Notebooks
- Google Colab
- Kaggle
Correct base line in NOTICE: -> JUWEL Beryl (80L)
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NOTICE
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@@ -2,7 +2,7 @@ NOTICE — JUWEL GEM open-weight adapter (code)
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Copyright 2026 Vext Labs, Inc.
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This is a LoRA adapter for the JUWEL base line (JUWEL
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which is derived from Qwen3-VL-32B-Instruct by Alibaba Cloud (Tongyi Qianwen Lab),
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released under the Apache License 2.0. Original base model:
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https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct
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Copyright 2026 Vext Labs, Inc.
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This is a LoRA adapter for the JUWEL base line (JUWEL Beryl, 80-layer),
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which is derived from Qwen3-VL-32B-Instruct by Alibaba Cloud (Tongyi Qianwen Lab),
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released under the Apache License 2.0. Original base model:
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https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct
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