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
Fix base_model_name_or_path: dead local path -> juwel-beryl (80L)
Browse files- adapter_config.json +4 -4
adapter_config.json
CHANGED
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@@ -1,9 +1,10 @@
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "/
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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@@ -125,6 +126,5 @@
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"use_bdlora": null,
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| 126 |
"use_dora": false,
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"use_qalora": false,
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| 128 |
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"use_rslora": false
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| 129 |
-
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| 130 |
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}
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{
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"_padded_from_v9": true,
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "VextLabsinc/juwel-beryl",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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| 126 |
"use_bdlora": null,
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| 127 |
"use_dora": false,
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| 128 |
"use_qalora": false,
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| 129 |
+
"use_rslora": false
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| 130 |
+
}
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