--- tags: - merge - mergekit - lazymergekit - louisbrulenaudet/Pearl-7B-slerp - WizardLM/WizardMath-7B-V1.1 - cognitivecomputations/WestLake-7B-v2-laser - CultriX/NeuralTrix-7B-dpo base_model: - louisbrulenaudet/Pearl-7B-slerp - WizardLM/WizardMath-7B-V1.1 - cognitivecomputations/WestLake-7B-v2-laser - CultriX/NeuralTrix-7B-dpo --- # Pearl-7B-0210-ties Pearl-7B-0210-ties is a merge of the following models: * [louisbrulenaudet/Pearl-7B-slerp](https://huggingface.co/louisbrulenaudet/Pearl-7B-slerp) * [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) * [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) * [CultriX/NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo) ## Configuration ```yaml models: - model: OpenPipe/mistral-ft-optimized-1227 - model: louisbrulenaudet/Pearl-7B-slerp parameters: density: 0.5 weight: 0.4 - model: WizardLM/WizardMath-7B-V1.1 parameters: density: 0.5 weight: 0.2 - model: cognitivecomputations/WestLake-7B-v2-laser parameters: density: 0.5 weight: 0.2 - model: CultriX/NeuralTrix-7B-dpo parameters: density: 0.5 weight: 0.2 merge_method: ties base_model: OpenPipe/mistral-ft-optimized-1227 parameters: normalize: true int8_mask: true dtype: float16 ``` ## Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "louisbrulenaudet/Pearl-7B-0210-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"]) ```