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license: apache-2.0
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---
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license: apache-2.0
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---
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# raincandy-u/TinyChat-1776K
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A tiny LM trained on TinyChat dataset from scratch.
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The aim is to try to achieve natural responses on the smallest possible model. Trained using a dataset of 3 year old children level English conversations.
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Note: It has no world knowledge, so you should not ask it any intellectual questions.
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## Model Spec
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```
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config = AutoConfig.for_model(
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model_type="llama",
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hidden_size=192,
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intermediate_size=640,
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num_attention_heads=16,
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num_hidden_layers=3,
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num_key_value_heads=4,
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tie_word_embeddings=True,
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vocab_size=2048,
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max_position_embeddings=256
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)
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```
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## Template
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```
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<A>Hi, Tom. How are you? <end>
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<B>I'm fine, thank you. And you? <end>
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<A>Fine. What's your favorite color? <end>
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<B>My favorite color is black. <end>
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<A>Do you like cats? <end>
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<B>
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```
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## Generation Param
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```
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top_k=40,
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top_p=0.8,
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temperature=1
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```
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