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ACKNOWLEDGMENTS.md

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Individual Contributors

If you wish to be acknowledged for your contributions, please list your name with a short description of your contribution(s) below. For example:

  • Jane Smith: Added the foo example.

MLX LM was developed with contributions from the following individuals:

  • Shunta Saito: Added support for PLaMo models.
  • Gökdeniz Gülmez: Added support for the following architectures: OpenBMB's MiniCPM and MiniCPM3, Kyutai's Helium, State-Space's Mamba v1 and Mamba v2, Z.ai & THUKEG's GLM, GLM4, GLM5 (GLM MoE DSA), Rednote dots.llm1, Baidu's Ernie4.5 MoE, inclusionAI's Bailing MoE e.g. Ling-family, Bailing MoE Linear e.g. Ling-Linear-family, Klear team - Kuaishou Technology's Klear, AI21 Lab's Jamba IBM's Granite MoE, Meituan's LongCat, Nvidia's Nemotron H, Swiss-AI's Apertus, Nikity's Lille130m, Alibaba Qwen's Qwen3Next, Tele-AI's TeleChat3, and Allenai's OLMoE and Olmo 3; Helped add support for the following model architectures: Alibaba Qwen's Qwen3 & Qwen3MoE); Added support for the following training algorithms: Full Weight Fine-Tuning, and the Muon optimizer; Added support for the following other features: Multiple Optimizers to choose for training, and reporting training metrics to WandB (Weights & Biases).
  • Prince Canuma: Helped add support for the following model architectures: HuggingFace's Starcoder2, Cohere's Cohere (1 and 2), Alibaba Qwen's Qwen (2, 3 and MoE), Microsoft's Phi (3 and 3.5 MoE), BitNet1.58, Meta's Llama (3 and 4), MinimaxAI's MiniMax, MoonshotAI's Kimi-Linear, LiquidAI's LFM2 and LFM2 MoE, Google DeepMind's Gemma 3, TII's Falcon H1 and InterLM's InternLM 2.5.
  • Ivan Fioravanti: Added support for the following architectures: ServiceNow-AI's Apriel 1.5, Tencent's Hunyuan Dense V1 and Hunyuan MoE V1.
  • Tarjei Mandt: Added support for the following architectures: Step 3.5 Flash, MoonshotAI's Kimi K2.5, Upstage's Solar Open, LG AI Research's K-Exaone MoE, Meituan's LongCat Flash Lite Helped add support for the following model architectures: Z.ai & THUKEG's GLM5 (GLM MoE DSA)