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 <[email protected]>
13 lines
1.1 KiB
Markdown
13 lines
1.1 KiB
Markdown
# 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`, 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`.
|