File size: 1,330 Bytes
df5cded |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
license: mit
datasets:
- wikipedia
- llm-jp/oasst1-21k-ja
- llm-jp/oasst1-21k-en
language:
- ja
- en
---
# tiny-lm
This repository provides a tiny 16M parameters language model for debugging and testing purposes.
This is created by tuning [sbintuitions/tiny-lm](https://huggingface.co/sbintuitions) with oasset1 datasets in Japanese and English.
## How to use
```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
model = AutoModelForCausalLM.from_pretrained("sbintuitions/tiny-lm-chat", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("sbintuitions/tiny-lm-chat", use_fast=False)
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
prompt = tokenizer.apply_chat_template([{"role": "user", "content": "Hello!"}], add_generation_prompt=True, tokenize=False)
print(generator(prompt, max_length=30, do_sample=True, top_k=100))
```
## Model architecture
A 4-layer, 512-hidden-size transformer-based language model.
## Training
The model was first pre-trained on English Wikipedia and Japanese Wikipedia to optimize a traditional language modelling objective for 25B tokens.
And then it was fine-tuned on oasst1 datasets in Japanese and English for 15 epochs.
## License
[MIT License](https://huggingface.co/sbintuitions/tiny-lm-chat/resolve/main/LICENSE)
|