---
library_name: transformers
license: cc-by-4.0
datasets:
- ghananlpcommunity/pristine-twi
language:
- tw
- ak
base_model:
- HuggingFaceTB/SmolLM2-135M
---
# Kasawa — SmolLM2-135M Fine-tuned on Twi

**kasawa** is a compact Twi language model capable of generating coherent twi text as casual language model. It should be noted that this model serves as a base model and it has not undergone intruction tuning.

Built on [SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) and 
trained on the [Pristine Twi Dataset](https://huggingface.co/datasets/ghananlpcommunity/pristine-twi) 
— ~999k rows of clean, naturally sounding Twi text spanning four styles: 
narrative, dialogue, monologue, and storytelling, grounded in real Ghanaian 
news topics and named entities.

Try it the yourself in the [demo](https://huggingface.co/spaces/ghananlpcommunity/kasawa).

## Intended Use

This model is released for **research and non-profit use only**. The primary goal 
is to lower the barrier for experimentation in the Twi/Akan NLP space — 
particularly as a base for instruction-tuned models targeting more advanced tasks 
such as summarization, question answering, and dialogue in Twi. 

It can also be very useful as a backbone for LLM-based **text-to-speech (TTS)** and **automatic 
speech recognition (ASR)** systems, as well as **machine translation (MT)** models 
involving Twi.

## Quick Start

```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

model = AutoModelForCausalLM.from_pretrained(
    "ghananlpcommunity/kasawa",
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("ghananlpcommunity/kasawa")
gen = pipeline("text-generation", model=model, tokenizer=tokenizer)

prompt = "Ɔpɛnimaa bosome, 2025,"
out = gen(prompt, max_new_tokens=200, do_sample=True, temperature=0.65, top_p=0.9)
print(out[0]["generated_text"])
```

## Training Details

| | |
|---|---|
| Base model | SmolLM2-135M |
| Dataset | Pristine Twi (~999k rows, ~250M tokens) |
| Epochs | ~2 |
| Hardware | 1× 80GB GPU |

## Citation & Community

Created by **Mich-Seth Owusu** for the [Ghana NLP Community](https://huggingface.co/ghananlpcommunity).  
If you build on this model, please credit the original work and consider sharing 
your results back with the community.

**License:** Research and non-profit use only.