--- tags: - merge - mergekit - lazymergekit - mlabonne/NeuralBeagle14-7B - FelixChao/WestSeverus-7B-DPO-v2 - jsfs11/TurdusTrixBeagle-DARETIES-7B base_model: - mlabonne/NeuralBeagle14-7B - FelixChao/WestSeverus-7B-DPO-v2 - jsfs11/TurdusTrixBeagle-DARETIES-7B license: apache-2.0 --- # EDIT: Always check my space for the latest benchmark results for my models! * https://huggingface.co/spaces/CultriX/Yet_Another_LLM_Leaderboard # CombinaTrix-7B CombinaTrix-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) * [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2) * [jsfs11/TurdusTrixBeagle-DARETIES-7B](https://huggingface.co/jsfs11/TurdusTrixBeagle-DARETIES-7B) ## 🧩 Configuration ```yaml models: - model: senseable/WestLake-7B-v2 # No parameters necessary for base model - model: mlabonne/NeuralBeagle14-7B parameters: density: 0.65 weight: 0.40 - model: FelixChao/WestSeverus-7B-DPO-v2 parameters: density: 0.45 weight: 0.3 - model: jsfs11/TurdusTrixBeagle-DARETIES-7B parameters: density: 0.55 weight: 0.3 merge_method: dare_ties base_model: senseable/WestLake-7B-v2 parameters: int8_mask: true dtype: float16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "CultriX/CombinaTrix-7B" 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"]) ```