merge_method: dare_ties
base_model: meta-llama/Llama-3.1-8B
dtype: bfloat16

models:
  - model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
    parameters: {weight: 0.75, density: 0.7}
  - model: meta-llama/Llama-3.1-8B
    parameters: {weight: 0.25, density: 0.3}

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "matrixportal/Profesor-Dare_Ties"
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"])

matrixportalx/Profesor-Dare_Ties

Profesor-Dare_Ties

🧩 Configuration

💻 Usage

matrixportalx/
Profesor-Dare_Ties