llmware
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dragon-deci-6b-v0

Text Generation

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doberst commited on Nov 13, 2023

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@@ -73,7 +73,7 @@ The fastest way to get started with DRAGON is through direct import in transform
     from transformers import AutoTokenizer, AutoModelForCausalLM
     tokenizer = AutoTokenizer.from_pretrained("dragon-deci-6b-v0")
-    model = AutoModelForCausalLM.from_pretrained("dragon-llama-6b-v0")
 Please refer to the generation_test .py files in the Files repository, which includes 200 samples and script to test the model.  The **generation_test_llmware_script.py** includes built-in llmware capabilities for fact-checking, as well as easy integration with document parsing and actual retrieval to swap out the test set for RAG workflow consisting of business documents.

     from transformers import AutoTokenizer, AutoModelForCausalLM
     tokenizer = AutoTokenizer.from_pretrained("dragon-deci-6b-v0")
+    model = AutoModelForCausalLM.from_pretrained("dragon-deci-6b-v0")
 Please refer to the generation_test .py files in the Files repository, which includes 200 samples and script to test the model.  The **generation_test_llmware_script.py** includes built-in llmware capabilities for fact-checking, as well as easy integration with document parsing and actual retrieval to swap out the test set for RAG workflow consisting of business documents.