--- base_model: - DewEfresh/neo_7b - DewEfresh/neo_7b tags: - merge - mergekit - lazymergekit - DewEfresh/neo_7b --- # Neo_7b-merge16 Neo_7b-merge16 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [DewEfresh/neo_7b](https://huggingface.co/DewEfresh/neo_7b) * [DewEfresh/neo_7b](https://huggingface.co/DewEfresh/neo_7b) ## 🧩 Configuration ```yaml # Define the slices for the model merging process slices: - sources: # Merge layer 3 with layer 0 - model: DewEfresh/neo_7b layer_range: [3, 3] - model: DewEfresh/neo_7b layer_range: [0, 0] - sources: # Merge layer 3 with layer 1 - model: DewEfresh/neo_7b layer_range: [3, 3] - model: DewEfresh/neo_7b layer_range: [1, 1] - sources: # Merge layer 3 with layer 2 - model: DewEfresh/neo_7b layer_range: [3, 3] - model: DewEfresh/neo_7b layer_range: [2, 2] - sources: # Merge layer 7 with layer 4 - model: DewEfresh/neo_7b layer_range: [7, 7] - model: DewEfresh/neo_7b layer_range: [4, 4] - sources: # Merge layer 7 with layer 5 - model: DewEfresh/neo_7b layer_range: [7, 7] - model: DewEfresh/neo_7b layer_range: [5, 5] - sources: # Merge layer 7 with layer 6 - model: DewEfresh/neo_7b layer_range: [7, 7] - model: DewEfresh/neo_7b layer_range: [6, 6] - sources: # Merge layer 11 with layer 8 - model: DewEfresh/neo_7b layer_range: [11, 11] - model: DewEfresh/neo_7b layer_range: [8, 8] - sources: # Merge layer 11 with layer 9 - model: DewEfresh/neo_7b layer_range: [11, 11] - model: DewEfresh/neo_7b layer_range: [9, 9] - sources: # Merge layer 11 with layer 10 - model: DewEfresh/neo_7b layer_range: [11, 11] - model: DewEfresh/neo_7b layer_range: [10, 10] - sources: # Merge layer 15 with layer 12 - model: DewEfresh/neo_7b layer_range: [15, 15] - model: DewEfresh/neo_7b layer_range: [12, 12] - sources: # Merge layer 15 with layer 13 - model: DewEfresh/neo_7b layer_range: [15, 15] - model: DewEfresh/neo_7b layer_range: [13, 13] - sources: # Merge layer 15 with layer 14 - model: DewEfresh/neo_7b layer_range: [15, 15] - model: DewEfresh/neo_7b layer_range: [14, 14] - sources: # Merge layer 19 with layer 16 - model: DewEfresh/neo_7b layer_range: [19, 19] - model: DewEfresh/neo_7b layer_range: [16, 16] - sources: # Merge layer 19 with layer 17 - model: DewEfresh/neo_7b layer_range: [19, 19] - model: DewEfresh/neo_7b layer_range: [17, 17] - sources: # Merge layer 19 with layer 18 - model: DewEfresh/neo_7b layer_range: [19, 19] - model: DewEfresh/neo_7b layer_range: [18, 18] - sources: # Merge layer 23 with layer 20 - model: DewEfresh/neo_7b layer_range: [23, 23] - model: DewEfresh/neo_7b layer_range: [20, 20] - sources: # Merge layer 23 with layer 21 - model: DewEfresh/neo_7b layer_range: [23, 23] - model: DewEfresh/neo_7b layer_range: [21, 21] - sources: # Merge layer 23 with layer 22 - model: DewEfresh/neo_7b layer_range: [23, 23] - model: DewEfresh/neo_7b layer_range: [22, 22] - sources: # Merge layer 27 with layer 24 - model: DewEfresh/neo_7b layer_range: [27, 27] - model: DewEfresh/neo_7b layer_range: [24, 24] - sources: # Merge layer 27 with layer 25 - model: DewEfresh/neo_7b layer_range: [27, 27] - model: DewEfresh/neo_7b layer_range: [25, 25] - sources: # Merge layer 27 with layer 26 - model: DewEfresh/neo_7b layer_range: [27, 27] - model: DewEfresh/neo_7b layer_range: [26, 26] # Specify the merging method for the slices merge_method: slerp base_model: DewEfresh/neo_7b parameters: t: 0.3333 # Set global interpolation value to 33.33% dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "DewEfresh/Neo_7b-merge16" 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"]) ```