KomdigiUB-8B-Base

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

# 1. Configuration
model_id = "aitfindonesia/Bakat-8B-Base"  # Replace with your actual Hub ID

# 2. Load Model
# Use bfloat16 for A100/A10G, float16 for T4
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

# 3. Inference Example (Completion)
input_text = "Strategi utama untuk mengurangi gap talenta digital di Indonesia adalah"
inputs = tokenizer(input_text, return_tensors="pt").to("cuda")

with torch.no_grad():
    outputs = model.generate(
        **inputs,
        max_new_tokens=100,
        do_sample=True,
        temperature=0.7
    )
    print(tokenizer.decode(outputs[0], skip_special_tokens=True))