EX-AI-Corase-30M

معرفی فارسی

مدل زبانی EX-AI-Corase-30M یک مدل زبانی کوچک مبتنی بر معماری ترنسفورمر علّی (Decoder-only) است که توسط EXAiStudio و به‌عنوان بخشی از پروژه تحقیقاتی EX Corase توسعه یافته است.

این مدل از صفر (From Scratch) و با استفاده از آثار ادبی فردوسی، به‌ویژه شاهنامه، آموزش داده شده است. هدف از توسعه آن، پژوهش در زمینه ساخت و آموزش مدل‌های زبانی کوچک فارسی و بررسی توانایی آن‌ها در پردازش و تولید متن فارسی است.

این مدل دارای 30,425,600 پارامتر است و یک پروژه تحقیقاتی در حوزه مدل‌های زبانی فارسی محسوب می‌شود.

English Introduction

EX-AI-Corase-ShahZaban-30M-2 is a small-scale Persian language model developed by EXAiStudio as part of the EX Corase research project.

The model uses a decoder-only Causal Transformer architecture and was trained from scratch on Ferdowsi's Shahnameh.

With 30,425,600 parameters, this model explores the development and training of compact Persian language models.


  1. Introduction

EX-AI-Corase-ShahZaban-30M-2 is a small Persian language model based on a Causal Transformer (Decoder-only) architecture, trained entirely from scratch by EXAiStudio.

The model was trained on the Ferdowsi Shahnameh corpus and is part of the EX Corase research project.


  1. Technical Details
Parameter Value
Architecture Causal Transformer (Decoder-only)
Parameters 30,425,600
vocab_size 10000
hidden_size 512
num_hidden_layers 8
num_attention_heads 8
head_dim 64
intermediate_size 1376
max_position_embeddings 512
Normalization RMSNorm
Positional Encoding RoPE
Activation SwiGLU
tie_word_embeddings true

  1. Training
  • Training Method: From Scratch
  • Training Corpus: Ferdowsi Shahnameh
  • Best Validation Loss: 3.873615

  1. Model Size
Precision Approximate Size
FP32 ~140 MB
FP16 ~70 MB
INT8 ~35 MB

The approximate model weight sizes are provided in FP32, FP16, and INT8 precision formats.


  1. Research Project

EX-AI-Corase-ShahZaban-30M-2 is an experimental research model developed as part of EXAiStudio's efforts in small-scale Persian language modeling.


Developed by EXAiStudio

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