Markus Enzweiler 9b387007ab Example of a Convolutional Variational Autoencoder (CVAE) on MNIST (#264) ... * initial commit * style fixes * update of ACKNOWLEDGMENTS * fixed comment * minor refactoring; removed unused imports * added cifar and cvae to top-level README.md * removed mention of cuda/mps in argparse * fixed training status output * load_weights() with strict=True * pretrained model update * fixed imports and style * requires mlx>=0.0.9 * updated with results using mlx 0.0.9 * removed mention of private repo * simplify and combine to one file, more consistency with other exmaples * few more nits * nits * spell * format --------- Co-authored-by: Awni Hannun <awni@apple.com>		2024-02-06 20:02:27 -08:00
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__init__.py	Mlx llm package (#301)	2024-01-12 10:25:56 -08:00
base.py	Mlx llm package (#301)	2024-01-12 10:25:56 -08:00
llama.py	two minor fixes (#335)	2024-01-18 14:18:13 -08:00
mixtral.py	feat: move lora into mlx-lm (#337)	2024-01-23 08:44:37 -08:00
olmo.py	Example of a Convolutional Variational Autoencoder (CVAE) on MNIST (#264)	2024-02-06 20:02:27 -08:00
phi2.py	chore(mlx-lm): update phi2 model args to sync with hf config format. (#311)	2024-01-13 07:51:45 -08:00
plamo.py	Add PLaMo-13B model as an LLM example (#303)	2024-01-23 07:17:24 -08:00
qwen2.py	add qwen2 (#411)	2024-02-04 08:31:38 -08:00
qwen.py	refactor(qwen): moving qwen into mlx-lm (#312)	2024-01-22 15:00:07 -08:00
stablelm_epoch.py	Add StableLM-2 1.6B (#378)	2024-01-26 10:28:00 -08:00