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---
license: apache-2.0
tags:
- moe
- merge
- epfl-llm/meditron-7b
- allenai/tulu-2-dpo-7b
---
# Medtulu-2x7b
Medtulu-2x7b is a Mixure of Experts (MoE) made with the following models:
* [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)
* [allenai/tulu-2-dpo-7b](https://huggingface.co/allenai/tulu-2-dpo-7b)
## Evaluations
| Benchmark | Meditulu-2x7b | meditron-7b | tulu-2-dpo-7b | meditron-70b | llama-2-7b |
| --- | --- | --- | --- | --- | --- |
| MedMCQA | | 59.2| | 65.1 | |
| ClosedPubMedQA | | N/A | | N/A| |
| PubMedQA | | 74.4 | | 80.0 | |
| MedQA | | 47.9 | | 60.7 | |
| MedQA4 | | 52.0 | | 65.4 | |
| MedicationQA | | N/A | | N/A | |
| MMLU Medical | | 55.6 | | 73.6 | |
| TruthfulQA | 51.23 | | | | |
| GSM8K | 18.42 | | 34.5 | | |
| ARC | 53.16 | | | | |
| HellaSwag | 75.65 | | | | |
| Winogrande | 73.72 | | | | |
## 🧩 Configuration
```yamlbase_model: allenai/tulu-2-dpo-7b
gate_mode: hidden
dtype: bfloat16
experts:
- source_model: epfl-llm/meditron-7b
positive_prompts:
- "How does sleep affect cardiovascular health?"
- "Could a plant-based diet improve arthritis symptoms?"
- "A patient comes in with symptoms of dizziness and nausea"
- "When discussing diabetes management, the key factors to consider are"
- "The differential diagnosis for a headache with visual aura could include"
negative_prompts:
- "Recommend a good recipe for a vegetarian lasagna."
- "Give an overview of the French Revolution."
- "Explain how a digital camera captures an image."
- "What are the environmental impacts of deforestation?"
- "The recent advancements in artificial intelligence have led to developments in"
- "The fundamental concepts in economics include ideas like supply and demand, which explain"
- source_model: allenai/tulu-2-dpo-7b
positive_prompts:
- "Here is a funny joke for you -"
- "When considering the ethical implications of artificial intelligence, one must take into account"
- "In strategic planning, a company must analyze its strengths and weaknesses, which involves"
- "Understanding consumer behavior in marketing requires considering factors like"
- "The debate on climate change solutions hinges on arguments that"
negative_prompts:
- "In discussing dietary adjustments for managing hypertension, it's crucial to emphasize"
- "For early detection of melanoma, dermatologists recommend that patients regularly check their skin for"
- "Explaining the importance of vaccination, a healthcare professional should highlight"
```
## 💻 Usage
```python
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Technoculture/Medtulu-11B"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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"])
``` |