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gijl
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Bilingual-Medical-Reasoning-MoE

Transformers
PyTorch
Arabic
English
moe-reasoning
medical
Mixture of Experts
reasoning
bilingual
Model card Files
xet
 Community
1
How to use from the
Use from the
Transformers library
# Gated model: Login with a HF token with gated access permission
hf auth login
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("gijl/Bilingual-Medical-Reasoning-MoE", dtype="auto")
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🩺 Bilingual Medical Reasoning MoE

A specialized 1.5B Mixture-of-Experts (MoE) Transformer model optimized for Arabic-English clinical reasoning and medical decision support.

🏗️ Model Architecture

  • Parameters: 1.5B (Total), ~68M (Active per token).
  • Structure: 6 layers, 8 heads per layer, Grouped-Query Attention (GQA).
  • MoE System: 4 experts per FFN layer with Top-2 active routing.
  • Reasoning: Native support for Chain-of-Thought (CoT) using <|think|> tags.

🚀 Usage

This model is designed to be used with the custom DeepThinkingModel architecture defined in this repository.

from model import DeepThinkingModel
import torch

model = DeepThinkingModel.from_pretrained("gijl/Bilingual-Medical-Reasoning-MoE")

📊 Training Data

  • AceGPT-Instruction (Specialized Arabic instructions)
  • Helsinki-NLP OPUS-100 (Bilingual translation & reasoning)
  • Oasst1 (Conversational grounding)
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