Files
mlx-lm/ACKNOWLEDGMENTS.md
Gökdeniz Gülmez 854b427fb9 Adding ernie4.5 moe (#267)
* initial commit

* loading and quant works

* inference works

* udpate ackn.

* use switch_layers

* sumarize sanitize and remove torch version

* formating

* clean ups

* add default parameter

* fixes

* nits

* nits

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Co-authored-by: Awni Hannun <awni@apple.com>
2025-07-04 17:13:13 -07:00

1.1 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, and Allenai's OLMoE; Added support for the following training algorithms: full-fine-tuning; 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.