--- tags: - merge - mergekit - lazymergekit - KoboldAI/LLaMA2-13B-Tiefighter - KoboldAI/LLaMA2-13B-Holomax base_model: - KoboldAI/LLaMA2-13B-Tiefighter - KoboldAI/LLaMA2-13B-Holomax - KoboldAI/LLaMA2-13B-Tiefighter - KoboldAI/LLaMA2-13B-Holomax - KoboldAI/LLaMA2-13B-Tiefighter - KoboldAI/LLaMA2-13B-Holomax - KoboldAI/LLaMA2-13B-Tiefighter - KoboldAI/LLaMA2-13B-Holomax - KoboldAI/LLaMA2-13B-Tiefighter --- # D_AU-Tiefighter-Holomax-20B-V1 D_AU-Tiefighter-Holomax-20B-V1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter) * [KoboldAI/LLaMA2-13B-Holomax](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) * [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter) * [KoboldAI/LLaMA2-13B-Holomax](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) * [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter) * [KoboldAI/LLaMA2-13B-Holomax](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) * [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter) * [KoboldAI/LLaMA2-13B-Holomax](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) * [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter) ## 🧩 Configuration ```yaml slices: - sources: - model: KoboldAI/LLaMA2-13B-Tiefighter layer_range: [0, 10] - sources: - model: KoboldAI/LLaMA2-13B-Holomax layer_range: [11,15] - sources: - model: KoboldAI/LLaMA2-13B-Tiefighter layer_range: [16,20] - sources: - model: KoboldAI/LLaMA2-13B-Holomax layer_range: [16,22] - sources: - model: KoboldAI/LLaMA2-13B-Tiefighter layer_range: [21, 30] - sources: - model: KoboldAI/LLaMA2-13B-Holomax layer_range: [31,33] - sources: - model: KoboldAI/LLaMA2-13B-Tiefighter layer_range: [31,35] - sources: - model: KoboldAI/LLaMA2-13B-Holomax layer_range: [36,40] - sources: - model: KoboldAI/LLaMA2-13B-Tiefighter layer_range: [36,40] merge_method: passthrough dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "DavidAU/D_AU-Tiefighter-Holomax-20B-V1" 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"]) ```