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README.md
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# GELI: Adapted LLM (Llama-2-7b-chat-hf) for Social Conversations Via Facial Expressions
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### CANDOR Attribution:
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Overview:
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This language model was trained on the CANDOR provided by BetterUp, Inc., and is subject to their specific licensing terms. The dataset was obtained and used in accordance with the BetterUp, Inc. Terms of Use, and all users of this model must comply with these terms. For reference, the dataset's licensing details and restrictions are outlined below.
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# GELI: Adapted LLM (Llama-2-7b-chat-hf) for Social Conversations Via Facial Expressions
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This is the official model card for the fine-tuned Llama-2 model that was produced from *Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents* presented at EMNLP 2024 (Oral).
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To load the model, please follow the following script. We rely on the Llama-2 tokenizer.
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```
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lm_tokenizer = LlamaTokenizer.from_pretrained("meta-llama/Llama-2-7b-chat-hf")
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model = AutoModelForCausalLMWithValueHead("dondongwonlee/GELI")
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model.eval()
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```
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### CANDOR Attribution:
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Overview:
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This language model was trained on the CANDOR provided by BetterUp, Inc., and is subject to their specific licensing terms. The dataset was obtained and used in accordance with the BetterUp, Inc. Terms of Use, and all users of this model must comply with these terms. For reference, the dataset's licensing details and restrictions are outlined below.
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