README.md

---
library_name: transformers
license: apache-2.0
datasets:
- pythainlp/han-instruct-dataset-v2.0
language:
- th
pipeline_tag: text-generation
---

# Model Card for Han LLM 7B v1

Han LLM v1 is a model that trained by han-instruct-dataset v2.0. The model are working with Thai.

Based model: [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b)


## Model Details

### Model Description

The model was trained by LoRA.

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** Wannaphong Phatthiyaphaibun
- **Model type:** text-generation
- **Language(s) (NLP):** Thai
- **License:** apache-2.0
- **Finetuned from model:** [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b)

## Uses

Thai users

### Out-of-Scope Use

Math, Coding, and other language


## Bias, Risks, and Limitations

The model can has a bias from dataset. Use at your own risks!

## How to Get Started with the Model

Use the code below to get started with the model.

```python
# !pip install accelerate sentencepiece transformers bitsandbytes
import torch
from transformers import pipeline

pipe = pipeline("text-generation", model="wannaphong/han-llm-7b-v1", torch_dtype=torch.bfloat16, device_map="auto")

# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
messages = [
    {"role": "user", "content": "แมวคืออะไร"},
]
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```

## Training Details

### Training Data

[Han Instruct dataset v2.0](https://huggingface.co/datasets/pythainlp/han-instruct-dataset-v2.0)

### Training Procedure 

Use LoRa

- r: 48
- lora_alpha
- 1 epoch