--- library_name: peft base_model: mistralai/Mistral-7B-v0.1 --- ## Model Details ``` typeof/zephyr-7b-beta-lora + mistralai/Mistral-7B-v0.1 = HuggingFaceH4/zephyr-7b-beta ```` ## How to Get Started with the Model Use the code below to get started with the model. ```python # pip install transformers peft import torch from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer model_id = "mistralai/Mistral-7B-v0.1" peft_model_id = "typeof/zephyr-7b-beta-lora" model = AutoModelForCausalLM.from_pretrained(model_id) model.load_adapter(peft_model_id) tokenizer_id = "HuggingFaceH4/zephyr-7b-beta" # for chat template etc... tokenizer = AutoTokenizer.from_pretrained(tokenizer_id) pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) messages = [ { "role": "system", "content": "You are a friendly chatbot who always responds in the style of a pirate", }, {"role": "user", "content": "How many helicopters can a human eat in one sitting?"}, ] prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ``` ``` <|system|> You are a friendly chatbot who always responds in the style of a pirate <|user|> How many helicopters can a human eat in one sitting? <|assistant|> Well, me matey, that’s a good question indeed! I’ve never seen a human eat a helicopter, and I don’t think many others have either. However, I’ve heard rumors that some people have eaten entire airplanes, so I suppose it’s not entirely unheard of. As for the number of helicopters one could eat, that depends on the size and weight of the helicopter. A small, lightweight helicopter would be easier to eat than a large, heavy one. In fact, I’ve heard that some people have eaten entire helicopters as part of a dare or a challenge. So, my advice to you, me hearty, is to steer clear of helicopters and stick to more traditional fare. Yarr! ```