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
model card
Browse files
README.md
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# GEM Ruby · code specialist
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## Weights — download
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- Adapter: https://pub-a6ae0476e46849f98f1746a61dc4c106.r2.dev/gem-ruby/adapter_model.safetensors
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- Config: https://pub-a6ae0476e46849f98f1746a61dc4c106.r2.dev/gem-ruby/adapter_config.json
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Load on the base `VextLabsinc/juwel-sapphire`. (r2.dev is the launch host; a custom domain can be attached later without changing the repo.)
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> **The adapter weights are hosted in this Hugging Face repo** — load them directly from the Hub. The **base** model (`VextLabsinc/juwel-sapphire`) is currently on Cloudflare R2 (see Download) pending migration to HF: download the base, load it from the local path, then apply this adapter.
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# GEM Ruby · code specialist
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## Weights — download
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- **Adapter (this model):** hosted in this HF repo — `adapter_model.safetensors` + `adapter_config.json`. Loads with `PeftModel.from_pretrained(base, "VextLabsinc/gem-ruby")`. (R2 mirror: https://pub-a6ae0476e46849f98f1746a61dc4c106.r2.dev/gem-ruby/)
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- **Base (`juwel-sapphire`, 144L, BF16):** currently on Cloudflare R2 (migrating to HF). Download all shards from https://pub-a6ae0476e46849f98f1746a61dc4c106.r2.dev/juwel-sapphire/ and load from the local path, then apply this adapter.
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