huggingface--transformers/docs/source/en/model_doc/ernie4_5.md

This model was contributed to Hugging Face Transformers on 2025-07-21.

Ernie 4.5

Overview

The Ernie 4.5 model was released in the Ernie 4.5 Model Family release by baidu. This family of models contains multiple different architectures and model sizes. This model in specific targets the base text model without mixture of experts (moe) with 0.3B parameters in total. It uses the standard Llama at its core.

Other models from the family can be found at Ernie 4.5 Moe and Ernie 4.5 VL MoE.

Usage Tips

Generate text

from transformers import AutoModelForCausalLM, AutoTokenizer


model_name = "baidu/ERNIE-4.5-0.3B-PT"

# load the tokenizer and the model
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    device_map="auto",
)

# prepare the model input
inputs = tokenizer("Hey, are you conscious? Can you talk to me?", return_tensors="pt").to(model.device)
prompt = "Hey, are you conscious? Can you talk to me?"
messages = [
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], add_special_tokens=False, return_tensors="pt").to(model.device)

# conduct text completion
generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=32,
)
output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()

# decode the generated ids
generate_text = tokenizer.decode(output_ids, skip_special_tokens=True)

This model was contributed by Anton Vlasjuk. The original code can be found here.

Ernie4_5Config

autodoc Ernie4_5Config

Ernie4_5Model

autodoc Ernie4_5Model - forward

Ernie4_5ForCausalLM

autodoc Ernie4_5ForCausalLM - forward