--- language: - ja tags: - merge - mergekit - lazymergekit - SakanaAI/EvoLLM-JP-A-v1-7B - stabilityai/japanese-stablelm-base-gamma-7b base_model: - SakanaAI/EvoLLM-JP-A-v1-7B - stabilityai/japanese-stablelm-base-gamma-7b --- # Hinoki-Sak-slerp-7B Hinoki-Sak-slerp-7B is a merge of the following models using using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) of [Maxime Labonne](https://huggingface.co/mlabonne) powered by [MergeKit](https://github.com/arcee-ai/mergekit) of [Arcee AI](https://www.arcee.ai): * [SakanaAI/EvoLLM-JP-A-v1-7B](https://huggingface.co/SakanaAI/EvoLLM-JP-A-v1-7B) (Base model) * [stabilityai/japanese-stablelm-base-gamma-7b](https://huggingface.co/stabilityai/japanese-stablelm-base-gamma-7b) ## 🧩 Configuration ```yaml slices: - sources: - model: SakanaAI/EvoLLM-JP-A-v1-7B layer_range: [0, 32] - model: stabilityai/japanese-stablelm-base-gamma-7b layer_range: [0, 32] merge_method: slerp base_model: SakanaAI/EvoLLM-JP-A-v1-7B parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "AkimfromParis/Hinoki-Sak-slerp-7B" 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"]) ``` # Citation ``` @article{goddard2024arcee, title={Arcee's MergeKit: A Toolkit for Merging Large Language Models}, author={Goddard, Charles and Siriwardhana, Shamane and Ehghaghi, Malikeh and Meyers, Luke and Karpukhin, Vlad and Benedict, Brian and McQuade, Mark and Solawetz, Jacob}, journal={arXiv preprint arXiv:2403.13257}, year={2024} } ``` arxiv.org/abs/2403.13257