metadata
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
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
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.
# !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
Training Procedure
Use LoRa
- r: 48
- lora_alpha
- 1 epoch