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mlx-lm/ACKNOWLEDGMENTS.md
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90e33f5443 Adding bailing_moe (ling-lite, -plus, -coder) (#369)
* initial commit

* update ackn.

* update ackn.

* using linear in gate class and adding to lora

* making it trainable

* format

* format again

* format + remove commetns

* add copyright

* nits

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Co-authored-by: Awni Hannun <[email protected]>
2025-08-14 07:54:59 -07:00

1.2 KiB

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'sMamba v1, Z.ai & THUKEG's GLM4, Rednote dots.llm1, Baisu's Ernie4.5 MoE, inclusionAI's Ling-lite, Ling-Coder-lite, Ling-plus, and Allenai's OLMoE; 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), Google DeepMind's Gemma 3, and InterLM's InternLM 2.5.