NVIDIA-NeMo/Megatron-Bridge

[model] JoyAI-LLM Flash

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#3,189 opened on Apr 7, 2026

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Description

Hugging Face repository

https://huggingface.co/joyailab

Architecture family

MoE decoder-only (e.g. DeepSeek V2/V3, OLMoE, Qwen3-MoE, MiniMax-M2)

Required deliverables

  • Model providers
  • HF conversion bridge
  • Unit tests (config and bridge)
  • Model conversion functional tests
  • Optimal pretraining recipe
  • Optimal finetuning recipe
  • Recipe unit tests
  • Recipe functional tests
  • End-to-end CI coverage

Owner if known

No response

Extra context

Request to add JoyAI-LLM Flash (48.9B total / 2.7B active) as a supported model in Megatron-Bridge. The architecture is DeepSeek-V3-style (MLA + MoE) and should map closely to the existing DeepSeek-V3 bridge implementation.

Model was trained with Muon optimizer on an extended Megatron-Core (PP=2, EP=8, ZeRO-1) over 20T tokens.

Contributor guide

Research direction
Study the existing DeepSeek V3 bridge implementation in Megatron Bridge, understand the MLA and MoE architecture details from the JoyAI LLM paper, and replicate the conversion and training scripts accordingly.
Tech stack
pythonpytorch
Domain
backendaitesting
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorchGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20