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---
license: apache-2.0
widget:
- text: "<A>We should have a pet. <end>\n<B>I don't think so. <end>\n<A>Why not? <end>\n<B>Because pets make a mess. <end>\n<A>But dogs are cute! <end>\n<B>Cats are cute too. <end>\n<A>We can get a cat then. <end>\n<B>"
example_title: Sample 1
---
# 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>
```
## Generation Param
```
top_k=40,
top_p=0.8,
temperature=1
``` |