freecs/ThetaWave-7B-v0.2

ThetaWave-7B v0.2

More info will be added in the future about this model.

• Made By: GR.
• Donate: donation.

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])