--- tags: - merge - mergekit - lazymergekit - aipib/Dopey-karasu-MoE3 - AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE base_model: - aipib/Dopey-karasu-MoE3 - AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE --- # TinyMoE-DopeykarasuMoe-xdareties2 TinyMoE-DopeykarasuMoe-xdareties2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [aipib/Dopey-karasu-MoE3](https://huggingface.co/aipib/Dopey-karasu-MoE3) * [AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE](https://huggingface.co/AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE) ## 🧩 Configuration ```yaml slices: - sources: - layer_range: [0, 22] model: aipib/Dopey-karasu-MoE3 parameters: density: [1, 0.7, 0.1] weight: 1.0 - layer_range: [0, 22] model: AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE parameters: density: 0.53 weight: - filter: mlp value: 0.5 - value: 0 merge_method: dare_ties base_model: aipib/Dopey-karasu-MoE3 parameters: normalize: true int8_mask: true dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "aipib/TinyMoE-DopeykarasuMoe-xdareties2" 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"]) ```