README.md

metadata

license: apache-2.0
tags:
  - moe
  - merge
  - epfl-llm/meditron-7b
  - chaoyi-wu/PMC_LLAMA_7B_10_epoch
  - allenai/tulu-2-dpo-7b
  - microsoft/Orca-2-7b

Mediquad-20B

Mediquad-20B is a Mixure of Experts (MoE) made with the following models:

• epfl-llm/meditron-7b
• chaoyi-wu/PMC_LLAMA_7B_10_epoch
• allenai/tulu-2-dpo-7b
• microsoft/Orca-2-7b

Evaluations

Benchmark	Mediquad-20B	meditron-7b	Orca-2-7b	meditron-70b
MedMCQA
ClosedPubMedQA
PubMedQA
MedQA
MedQA4
MedicationQA
MMLU Medical
TruthfulQA
GSM8K
ARC
HellaSwag
Winogrande

🧩 Configuration

gate_mode: hidden
dtype: bfloat16
experts:
  - source_model: epfl-llm/meditron-7b
    positive_prompts:
      - "How does sleep affect cardiovascular health?"
      - "When discussing diabetes management, the key factors to consider are"
      - "The differential diagnosis for a headache with visual aura could include"
    negative_prompts:
      - "What are the environmental impacts of deforestation?"
      - "The recent advancements in artificial intelligence have led to developments in"
  - source_model: chaoyi-wu/PMC_LLAMA_7B_10_epoch
    positive_prompts:
      - "How would you explain the importance of hypertension management to a patient?"
      - "Describe the recovery process after knee replacement surgery in layman's terms."
    negative_prompts:
      - "Recommend a good recipe for a vegetarian lasagna."
      - "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"
  - source_model: microsoft/Orca-2-7b
    positive_prompts:
      - "Given the riddle above,"
      - "Given the above context deduce the outcome:"
      - "The logical flaw in the above paragraph is"
    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/Mediquad-20B"

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"])