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--- |
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license: apache-2.0 |
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tags: |
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- moe |
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- frankenmoe |
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- merge |
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- mergekit |
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- lazymergekit |
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--- |
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# Lumina-RP |
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Lumina-4 is a Mixture of Experts (MoE) made with [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing). |
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This model has improved roleplaying and storytelling from [Lumina-3.5](https://huggingface.co/Ppoyaa/Lumina-3.5) while still retaining its strength. A slight improvement on the Open LLM leaderboard. |
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It uses a context window of up to 32k. |
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# Response Examples |
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``` Math |
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Input: 25 - 4 * 2 + 3 = ? |
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------------------------------------ |
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Output: The given mathematical expression is 25 - 4 * 2 + 3. To solve it, we should follow the order of operations (PEMDAS): |
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1. Parentheses: There are none in this equation. |
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2. Exponents: None present. |
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3. Multiplication and Division: We perform multiplications before divisions from left to right. In this case, 4 * 2 = 8. Now our equation becomes 25 - 8 + 3. |
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4. Addition and Subtraction: We perform additions before subtractions from left to right. Here, we have a subtraction then an addition: 25 - 8 = 17, then 17 + 3 = 20. |
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So the result of the expression 25 - 4 * 2 + 3 is 20. |
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``` |
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# 🏆 Open LLM Leaderboard Evaluation Results |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |75.59| |
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|AI2 Reasoning Challenge (25-Shot)|72.61| |
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|HellaSwag (10-Shot) |88.45| |
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|MMLU (5-Shot) |64.73| |
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|TruthfulQA (0-shot) |74.24| |
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|Winogrande (5-shot) |83.90| |
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|GSM8k (5-shot) |69.60| |
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## 💻 Usage |
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```python |
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!pip install -qU transformers bitsandbytes 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/Lumina-4" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, |
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) |
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] |
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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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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``` |
