---
license: apache-2.0
widget:
- text: |-
    <A>We should have a pet. <end>
    <B>I don't think so. <end>
    <A>Why not? <end>
    <B>Because pets make a mess. <end>
    <A>But dogs are cute! <end>
    <B>Cats are cute too. <end>
    <A>We can get a cat then. <end>
    <B>
  example_title: Sample 1
datasets:
- raincandy-u/TinyChat
pipeline_tag: text-generation
---

# 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
```