Instructions to use VextLabsinc/gem-turquoise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VextLabsinc/gem-turquoise 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-turquoise") - Notebooks
- Google Colab
- Kaggle
Commit History
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Correct LoRA rank in card: r=32, alpha=64 (was a fleet-wide r=64 assumption)
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Correct base line in NOTICE: -> JUWEL Beryl (80L)
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Correct base to juwel-beryl (80L); drop false padding claim; fix load class
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Fix base_model_name_or_path: dead local path -> juwel-beryl (80L)
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model card
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weights: adapter_model.safetensors
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weights: adapter_config.json
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NOTICE
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model card
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model card
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USE_POLICY.md
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NOTICE
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license
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model card
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initial commit
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