--- tags: - merge - mergekit - lazymergekit - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super base_model: - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super - abacaj/phi-2-super --- # phi-2-DLEC phi-2-DLEC is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) * [abacaj/phi-2-super](https://huggingface.co/abacaj/phi-2-super) ## 🧩 Configuration ```yaml dtype: bfloat16 merge_method: passthrough slices: - sources: - model: abacaj/phi-2-super layer_range: [0, 3] # Introduces 0, 3 - sources: - model: abacaj/phi-2-super layer_range: [3, 8] # Duplicates 3, introduces 4, 7, 8 - sources: - model: abacaj/phi-2-super layer_range: [7, 12] # Duplicates 7, 8, introduces 11, 12 - sources: - model: abacaj/phi-2-super layer_range: [11, 16] # Duplicates 11, 12, introduces 15, 16 - sources: - model: abacaj/phi-2-super layer_range: [15, 20] # Duplicates 15, 16, introduces 19, 20 - sources: - model: abacaj/phi-2-super layer_range: [19, 24] # Duplicates 19, 20, introduces 23, 24 - sources: - model: abacaj/phi-2-super layer_range: [23, 28] # Duplicates 23, 24, introduces 27, 28 - sources: - model: abacaj/phi-2-super layer_range: [27, 32] # Duplicates 27, 28, introduces 31, 32 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "TheSkullery/phi-2-DLEC" 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"]) ```