# SwahiliInstruct-v0.2

This is a [Mistral model](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) that has been fine-tuned on the [Swahili Alpaca dataset](https://huggingface.co/datasets/mwitiderrick/SwahiliAlpaca) for 3 epochs.

## Prompt Template
```
### Maelekezo:

{query}

### Jibu:
<Leave new line for model to respond> 
```

## Usage 
```python
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/SwahiliInstruct-v0.2")
model = AutoModelForCausalLM.from_pretrained("mwitiderrick/SwahiliInstruct-v0.2", device_map="auto")
query = "Nipe maagizo ya kutengeneza mkate wa mandizi"
text_gen = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200, do_sample=True, repetition_penalty=1.1)
output = text_gen(f"### Maelekezo:\n{query}\n### Jibu:\n")
print(output[0]['generated_text'])


"""
 Maagizo ya kutengeneza mkate wa mandazi:
1. Preheat tanuri hadi 375°F (190°C).
2. Paka sufuria ya uso na siagi au jotoa sufuria.
3. Katika bakuli la chumvi, ongeza viungo vifuatavyo: unga, sukari ya kahawa, chumvi, mdalasini, na unga wa kakao.
Koroga mchanganyiko pamoja na mbegu za kikombe 1 1/2 za mtindi wenye jamii na hatua ya maji nyepesi.
4. Kando ya uwanja, changanya zaini ya yai 2
"""
```

{"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["transformers"], "datasets": ["mwitiderrick/SwahiliAlpaca"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": true, "model_type": "mistral", "created_by": "mwitiderrick", "pipeline_tag": "text-generation"}
transformers safetensors mistral text-generation conversational en dataset:mwitiderrick/SwahiliAlpaca base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us