854b427fb9
* 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 --------- Co-authored-by: Awni Hannun <awni@apple.com>
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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
fooexample.
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
MiniCPMandMiniCPM3, Kyutai'sHelium, State-Space'sMamba v1, Z.ai & THUKEG'sGLM4, Rednotedots.llm1, Baisu'sErnie4.5 MoE, and Allenai'sOLMoE; Added support for the following training algorithms:full-fine-tuning; Added support for the following other features:Multiple Optimizers to choose for training, andreporting training metrics to WandB (Weights & Biases). - Prince Canuma: Helped add support for the following model architectures: HuggingFace's
Starcoder2, Cohere'sCohere (1 and 2), Alibaba Qwen'sQwen (2, 3 and MoE), Microsoft'sPhi (3 and 3.5 MoE),BitNet1.58, Meta'sLlama (3 and 4), Google DeepMind'sGemma 3, and InterLM'sInternLM 2.5.