Llama-3.1-8B-ThaiInstruct

Dataset

This model finetune on airesearch/WangchanThaiInstruct

23 sep 2024

Training details:

• epochs: 1
• learning rate: 2e-4
• learning rate scheduler type: linear
• Warmup ratio: 0.3
• cutoff len (i.e. context length): 2048
• global batch size: 8
• fine-tuning type: qlora
• optimizer: adamw_8bit

ps. 12 Hours from T4 Kaggle

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "Konthee/Llama-3.1-8B-ThaiInstruct"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id, torch_dtype="auto", device_map="auto"
)

messages = [
    {"role": "user", "content": "สอนภาษาไทยหน่อย"},
]

input_ids = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True, return_tensors="pt"
).to(model.device)

outputs = model.generate(
    input_ids,
    max_new_tokens=4096,
    do_sample=True,
    temperature=0.6,
    top_p=0.9,
)
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))

Uploaded model

• Developed by: Konthee
• License: apache-2.0
• Finetuned from model : unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>