--- tags: - merge - mergekit - lazymergekit - NousResearch/Meta-Llama-3-8B base_model: - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Meta-Llama-3-8B --- # llama-3-8b-slow-DUS-max-layer2-method2 llama-3-8b-slow-DUS-max-layer2-method2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) * [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) ## 🧩 Configuration ```yaml slices: - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [1, 2] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [2, 3] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [3, 4] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [4, 5] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [5, 6] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [6, 7] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [7, 8] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [8, 9] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [9, 10] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [10, 11] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [11, 12] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [12, 13] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [13, 14] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [14, 15] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [15, 16] - sources: - model: NousResearch/Meta-Llama-3-8B layer_range: [31, 32] merge_method: passthrough dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "ryan0712/llama-3-8b-slow-DUS-max-layer2-method2" 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"]) ```