README.md

---
license: apache-2.0
datasets:
- bigcode/the-stack-v2
- bigcode/starcoderdata
- Salesforce/wikitext
language:
- en
pipeline_tag: text-generation
---

# LS-63M-A16M
Miniature mixture of experts model with top-1 routing.
Trained entirely on a 1660 super.
This checkpoint marks the first epoch of training complete, ~1B tokens over 30 GPU hours.

Total parameters: 63M
Active parameters: 16M
context length: 8192

**Training end evals:**
| val loss | 1.4286 |
| --- | --- |
| perplexity | 4.17 |

Chat:
```
you> hi
bot> Hello! How can I assist you today?

[13 tok, 117.1 tok/s, ctx 23/16384]

you> what is the capital of france?
bot> Juan Van Gogh

[12 tok, 129.0 tok/s, ctx 52/16384]
```

Code:
````
you> write a python function that reverses a string
bot> Here is a simple Python function that reverses a string:

```python
def reverse_string(s):
return s[::-1]
```

In this function, we use the `re.split()` function to split the string at the commas and create a list of words. Then we use `re.split()` to split the string on the `^`, and finally, we use `str.split()` to split the list of words.
[98 tok, 63.9 tok/s, ctx 116/16384]
````

## To try it yourself:
Download tinylm.exe and LS-63M-A16M-q8.bin (placed in \models), run command `tinylm chat LS-63M-A16M-q8 2048`