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Model: Technoculture/Medorca-2x7b Source: Original Platform
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README.md
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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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- microsoft/Orca-2-7b
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---
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# Medorca-2x7b
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Medorca-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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* [microsoft/Orca-2-7b](https://huggingface.co/microsoft/Orca-2-7b)
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## Evaluations
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| Benchmark | Medorca-2x7b | Orca-2-7b | llama-2-7b | meditron-7b | meditron-70b |
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| --- | --- | --- | --- | --- | --- |
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| MedMCQA | | | | | |
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| ClosedPubMedQA | | | | | |
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| PubMedQA | | | | | |
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| MedQA | | | | | |
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| MedQA4 | | | | | |
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| MedicationQA | | | | | |
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| MMLU Medical | | | | | |
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| MMLU | 53.3 | **56.37** | | | |
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| TruthfulQA | 48.04 | **52.45** | | | |
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| GSM8K | 20.64 | **47.2** | | | |
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| ARC | 54.1 | 54.1 | | | |
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| HellaSwag | 76.04 | **76.19** | | | |
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| Winogrande | **74.51** | 73.48 | | | |
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More details on the Open LLM Leaderboard evaluation results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Technoculture__Medorca-2x7b.)
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## 🧩 Configuration
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```yaml
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base_model: microsoft/Orca-2-7b
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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: microsoft/Orca-2-7b
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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/Medorca-2x7b"
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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},
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)
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messages = [{"role": "user", "content": "Why am i feeling so tired this month?"}]
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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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```
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