Kartoffel-Sauerkraut-Embraceable

sp-embraceable/Kartoffel-Sauerkraut-Embraceable

sp-embraceable/Kartoffel-Sauerkraut-Embraceable is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
    - model: sp-embraceable/Orpheus3BTTS-FT-Embraceable-FirstSubset_V2
    - model: VAGOsolutions/SauerkrautTTS-Preview-0.1
    - model: SebastianBodza/Kartoffel_Orpheus-3B_german_synthetic-v0.1
merge_method: model_stock
base_model: kadirnar/Orpheus-TTS-De
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "sp-embraceable/Kartoffel-Sauerkraut-Embraceable"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])