raincandy-u/TinyChat-1776K

A tiny LM trained on TinyChat dataset from scratch.

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.

Note: It has no world knowledge, so you should not ask it any intellectual questions.

Model Spec

config = AutoConfig.for_model(
    model_type="llama",
    hidden_size=192,
    intermediate_size=640,
    num_attention_heads=16,
    num_hidden_layers=3,
    num_key_value_heads=4,
    tie_word_embeddings=True,
    vocab_size=2048,
    max_position_embeddings=256
)

Template

<A>Hi, Tom. How are you? <end>
<B>I'm fine, thank you. And you? <end>
<A>Fine. What's your favorite color? <end>
<B>My favorite color is black. <end>
<A>Do you like cats? <end>
<B>

Example output:

Yes, I do. I like it too. They are good for me.

Generation Param

top_k=40,
top_p=0.8,
temperature=1