Ollama
Run language models locally on CPU or GPU with one command.
SaaS: YesClosed product: Yes
- GitHub stars
- 182k
- Deployment
- Binary, Docker
OpenAI API in the AI category. These are the open alternatives we recommend looking at.
Run language models locally on CPU or GPU with one command.
SaaS: YesClosed product: Yes
C/C++ engine for running language models locally, even without a GPU.
SaaS: YesClosed product: Yes
Self-hosted drop-in for the OpenAI API that runs language, image and voice models on your own hardware.
SaaS: YesClosed product: Yes
High-throughput serving of language models in production.
SaaS: YesClosed product: Yes
Fast framework for serving large language models and multimodal models in production.
SaaS: YesClosed product: Yes
Platform for running open language, speech and multimodal models behind one API, locally or in the cloud.
SaaS: YesClosed product: Yes
Toolkit for compressing, deploying and serving language models efficiently.
SaaS: YesClosed product: Yes
The engine LM Studio uses to run models with Apple MLX on Mac.
SaaS: YesClosed product: Yes
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