--- tags: - merge - mergekit - lazymergekit - paulml/OGNO-7B - bardsai/jaskier-7b-dpo-v4.3 base_model: - paulml/OGNO-7B - bardsai/jaskier-7b-dpo-v4.3 --- # Buttercup-7b-dpo-slerp Buttercup-7b-dpo-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [paulml/OGNO-7B](https://huggingface.co/paulml/OGNO-7B) * [bardsai/jaskier-7b-dpo-v4.3](https://huggingface.co/bardsai/jaskier-7b-dpo-v4.3) ## 🧩 Configuration ```yaml models: - model: bardsai/jaskier-7b-dpo-v5.6 # no parameters necessary for base model - model: paulml/OGNO-7B parameters: density: 0.9 weight: 0.5 - model: bardsai/jaskier-7b-dpo-v4.3 parameters: density: 0.5 weight: 0.3 merge_method: ties base_model: bardsai/jaskier-7b-dpo-v5.6 parameters: normalize: true dtype: float16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "mayacinka/Buttercup-7b-dpo-slerp" 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"]) ```