--- license: apache-2.0 tags: - moe - frankenmoe - merge - mergekit - lazymergekit - MediaTek-Research/Breeze-7B-Instruct-v0_1 - Azure99/blossom-v4-mistral-7b base_model: - MediaTek-Research/Breeze-7B-Instruct-v0_1 - Azure99/blossom-v4-mistral-7b --- # Breezeblossom-v4-mistral-2x7B Breezeblossom-v4-mistral-2x7B is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [MediaTek-Research/Breeze-7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1) * [Azure99/blossom-v4-mistral-7b](https://huggingface.co/Azure99/blossom-v4-mistral-7b) ## 🧩 Configuration ```yaml base_model: MediaTek-Research/Breeze-7B-Instruct-v0_1 gate_mode: hidden dtype: float16 experts: - source_model: MediaTek-Research/Breeze-7B-Instruct-v0_1 positive_prompts: [ "You are a helpful AI assistant built by MediaTek Research. The user you are helping speaks Traditional Chinese and comes from Taiwan. [INST] 你好,請問你可以完成什麼任務? [/INST] "] - source_model: Azure99/blossom-v4-mistral-7b positive_prompts: ["A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions. \n|Human|: hello\n|Bot|: "] ``` ## 💻 Usage ```python !pip install -qU transformers bitsandbytes accelerate from transformers import AutoTokenizer import transformers import torch model = "sam-ezai/Breezeblossom-v4-mistral-2x7B" tokenizer = AutoTokenizer.from_pretrained(model) pipeline = transformers.pipeline( "text-generation", model=model, model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, ) messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) 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"]) ```