--- tags: - merge - mergekit - lazymergekit - Kukedlc/Neural4gsm8k - nlpguy/AlloyIngotNeoX - automerger/OgnoExperiment27-7B - vanillaOVO/supermario_v4 base_model: - Kukedlc/Neural4gsm8k - nlpguy/AlloyIngotNeoX - automerger/OgnoExperiment27-7B - vanillaOVO/supermario_v4 --- # NeuralTopBench-7B-ties NeuralTopBench-7B-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [Kukedlc/Neural4gsm8k](https://huggingface.co/Kukedlc/Neural4gsm8k) * [nlpguy/AlloyIngotNeoX](https://huggingface.co/nlpguy/AlloyIngotNeoX) * [automerger/OgnoExperiment27-7B](https://huggingface.co/automerger/OgnoExperiment27-7B) * [vanillaOVO/supermario_v4](https://huggingface.co/vanillaOVO/supermario_v4) ## 🧩 Configuration ```yaml models: - model: CultriX/NeuralTrix-bf16 # no parameters necessary for base model - model: Kukedlc/Neural4gsm8k parameters: weight: 0.3 density: 0.5 - model: nlpguy/AlloyIngotNeoX parameters: weight: 0.2 density: 0.5 - model: automerger/OgnoExperiment27-7B parameters: weight: 0.2 density: 0.5 - model: vanillaOVO/supermario_v4 parameters: weight: 0.3 density: 0.5 merge_method: dare_ties base_model: CultriX/NeuralTrix-bf16 parameters: int8_mask: true normalize: true dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "Kukedlc/NeuralTopBench-7B-ties" 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"]) ```