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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- mlabonne/NeuralBeagle14-7B |
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- FelixChao/WestSeverus-7B-DPO-v2 |
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- CultriX/MergeTrix-7B-v2 |
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base_model: |
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- mlabonne/NeuralBeagle14-7B |
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- FelixChao/WestSeverus-7B-DPO-v2 |
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- CultriX/MergeTrix-7B-v2 |
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license: apache-2.0 |
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--- |
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# EDIT: |
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Always check my space for the latest benchmark results for my models! |
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* https://huggingface.co/spaces/CultriX/Yet_Another_LLM_Leaderboard |
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# OmniTrixAI |
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OmniTrixAI is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) |
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* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2) |
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* [CultriX/MergeTrix-7B-v2](https://huggingface.co/CultriX/MergeTrix-7B-v2) |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: senseable/WestLake-7B-v2 |
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# No parameters necessary for base model |
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- model: mlabonne/NeuralBeagle14-7B |
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parameters: |
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density: 0.65 |
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weight: 0.40 |
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- model: FelixChao/WestSeverus-7B-DPO-v2 |
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parameters: |
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density: 0.45 |
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weight: 0.26 |
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- model: CultriX/MergeTrix-7B-v2 |
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parameters: |
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density: 0.55 |
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weight: 0.34 |
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merge_method: dare_ties |
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base_model: senseable/WestLake-7B-v2 |
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parameters: |
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int8_mask: true |
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dtype: float16 |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "CultriX/OmniTrixAI" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
