metadata

license: apache-2.0
tags:
  - moe
  - merge
  - AdaptLLM/medicine-chat
  - microsoft/Orca-2-7b
datasets:
  - open-llm-leaderboard/details_Technoculture__Medchator-2x7b

Medchator-2x7b

Medchator-2x7b is a Mixure of Experts (MoE) made with the following models:

Evaluations

Open LLM Leaderboard

Model Name	ARC	HellaSwag	MMLU	TruthfulQA	Winogrande	GSM8K
Orca-2-7b	78.4	76.1	53.7	52.4	74.2	47.2
LLAMA-2-7b	43.2	77.1	44.4	38.7	69.5	16
MT7Bi-sft	54.1	75.11	-	43.08	72.14	15.54
MT7bi-dpo	54.69	75.89	52.82	45.48	71.58	25.93
Medorca-2x7b	54.1	76.04	54.1	48.04	74.51	20.64
Medchator-2x7b	57.59	78.14	56.13	48.77	75.3	32.83

🧩 Configuration

base_model: microsoft/Orca-2-7b
gate_mode: hidden
dtype: bfloat16
experts:
  - source_model: AdaptLLM/medicine-chat
    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: microsoft/Orca-2-7b
    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

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Technoculture/Medchator-2x7b"

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"])