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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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license: apache-2.0 |
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--- |
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# LexiLumin-7B |
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LexiLumin-7B is a merge of four models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing). |
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This model excels in roleplaying and storytelling. |
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# 🏆 Open LLM Leaderboard Evaluation Results |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |75.72| |
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|AI2 Reasoning Challenge (25-Shot)|72.70| |
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|HellaSwag (10-Shot) |88.28| |
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|MMLU (5-Shot) |65.08| |
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|TruthfulQA (0-shot) |73.10| |
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|Winogrande (5-shot) |83.27| |
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|GSM8k (5-shot) |71.87| |
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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 = "Ppoyaa/LexiLumin-7B" |
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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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``` |
