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Blaizzy avatar

Blaizzy/mlx-vlm

0
View on GitHub↗
2,157 stars·267 forks·Python·mit·12 views

Mlx Vlm

Features

  • Fine-Tuning Frameworks - Package for inference and fine-tuning on Apple Silicon.
  • Inference Engines - Inference and fine-tuning package for vision models on Mac.
  • Fine-Tuning Frameworks - Package for inference and fine-tuning on Apple Silicon.

Star history

Star history chart for blaizzy/mlx-vlmStar history chart for blaizzy/mlx-vlm

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of blaizzy/mlx-vlm?

The main features of blaizzy/mlx-vlm are: Fine-Tuning Frameworks, Inference Engines.

What are some open-source alternatives to blaizzy/mlx-vlm?

Open-source alternatives to blaizzy/mlx-vlm include: bytedance-seed/veomni. facebookresearch/lingua — Lingua is a research framework for developing, training, and experimenting with large language model architectures and… alibaba/chatlearn — A flexible and efficient training framework for large-scale alignment tasks. alisawuffles/proxy-tuning. evolvinglmms-lab/lmms-engine. h2oai/h2o-llmstudio — h2o-llmstudio is a language model training framework that provides a no-code graphical interface for fine-tuning large…

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