metadata
license: apache-2.0
ThetaWave-7B v0.2
More info will be added in the future about this model.
Give it a try:
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto
model = AutoModelForCausalLM.from_pretrained("freecs/ThetaWave-7B-v0.2")
tokenizer = AutoTokenizer.from_pretrained("freecs/ThetaWave-7B-v0.2")
messages = [
{"role": "system", "content": "You are an AI assistant"},
{"role": "user", "content": "Who are you?"},
]
encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
model_inputs = encodeds.to(device)
model.to(device)
generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])