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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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- merge |
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- epfl-llm/meditron-7b |
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- allenai/tulu-2-dpo-7b |
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--- |
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# Medtulu-2x7b |
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Medtulu-2x7b is a Mixure of Experts (MoE) made with the following models: |
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* [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b) |
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* [allenai/tulu-2-dpo-7b](https://huggingface.co/allenai/tulu-2-dpo-7b) |
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## Evaluations |
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| Benchmark | Meditulu-2x7b | meditron-7b | tulu-2-dpo-7b | meditron-70b | llama-2-7b | |
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| --- | --- | --- | --- | --- | --- | |
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| MedMCQA | | 59.2| | 65.1 | | |
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| ClosedPubMedQA | | N/A | | N/A| | |
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| PubMedQA | | 74.4 | | 80.0 | | |
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| MedQA | | 47.9 | | 60.7 | | |
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| MedQA4 | | 52.0 | | 65.4 | | |
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| MedicationQA | | N/A | | N/A | | |
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| MMLU Medical | | 55.6 | | 73.6 | | |
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| TruthfulQA | 51.23 | | | | | |
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| GSM8K | 18.42 | | 34.5 | | | |
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| ARC | 53.16 | | | | | |
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| HellaSwag | 75.65 | | | | | |
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| Winogrande | 73.72 | | | | | |
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## 🧩 Configuration |
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```yamlbase_model: allenai/tulu-2-dpo-7b |
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gate_mode: hidden |
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dtype: bfloat16 |
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experts: |
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- source_model: epfl-llm/meditron-7b |
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positive_prompts: |
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- "How does sleep affect cardiovascular health?" |
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- "Could a plant-based diet improve arthritis symptoms?" |
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- "A patient comes in with symptoms of dizziness and nausea" |
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- "When discussing diabetes management, the key factors to consider are" |
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- "The differential diagnosis for a headache with visual aura could include" |
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negative_prompts: |
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- "Recommend a good recipe for a vegetarian lasagna." |
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- "Give an overview of the French Revolution." |
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- "Explain how a digital camera captures an image." |
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- "What are the environmental impacts of deforestation?" |
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- "The recent advancements in artificial intelligence have led to developments in" |
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- "The fundamental concepts in economics include ideas like supply and demand, which explain" |
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- source_model: allenai/tulu-2-dpo-7b |
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positive_prompts: |
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- "Here is a funny joke for you -" |
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- "When considering the ethical implications of artificial intelligence, one must take into account" |
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- "In strategic planning, a company must analyze its strengths and weaknesses, which involves" |
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- "Understanding consumer behavior in marketing requires considering factors like" |
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- "The debate on climate change solutions hinges on arguments that" |
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negative_prompts: |
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- "In discussing dietary adjustments for managing hypertension, it's crucial to emphasize" |
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- "For early detection of melanoma, dermatologists recommend that patients regularly check their skin for" |
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- "Explaining the importance of vaccination, a healthcare professional should highlight" |
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``` |
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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 = "Technoculture/Medtulu-11B" |
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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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``` |
