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Param2-17B-Thinking

BharatGen presents Param-2-17B-MoE-A2.4B, a large-scale Mixture-of-Experts (MoE) language model designed to deliver high model capacity while retaining the inference efficiency of a much smaller dense model. It uses a Hybrid MoE architecture with 17B total parameters, while activating only 2.4B parameters per token.

About Model

* 17B parameter Mixture of Experts (MoE) language model * Multilingual: English, Hindi + 21 Indian languages * Trained on ~22 trillion tokens across two pretraining phases * Uses 64 specialized experts, dynamically activated per token * Supports long-context understanding (up to 4096 tokens) * Efficient inference: Only 2.4B active parameters per token * Advanced Capabilities: Thinking & Reasoning, Tool Calling, Mathematics, Code Generation * Designed for diverse downstream applications and further fine-tuning

Param2-17B-Thinking

Metadata Metadata

Attribution-Non-Commercial 4.0 International (CC BY-NC 4.0)

bharatgenai

Transformers

PyTorch

Open

BharatGen

Other

13/03/26 11:03:42

Kundeshwar Vijay Pundalik

25.33 GB

Activity Overview Activity Overview

  • Downloads0
  • Downloads 7
  • Views 220
  • File Size 25.33 GB

Tags Tags

  • Mixture of Experts
  • Multilingual Text
  • pretrained

License Control License Control

Attribution-Non-Commercial 4.0 International (CC BY-NC 4.0)

Version Control Version Control

FolderVersion 1(25.33 GB)
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