vLLM
High-throughput serving of language models in production.
SaaS: YesClosed product: Yes
- GitHub stars
- 93k
- Deployment
- Docker (GPU)
Azure OpenAI in the AI category. These are the open alternatives we recommend looking at.
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
Large language model from DeepSeek trained for multi-step reasoning such as maths and code.
SaaS: YesClosed product: Yes
Open-weight language models from OpenAI under Apache-2.0.
SaaS: YesClosed product: Yes
Instruction-tuned language model from Mistral AI with 7 billion parameters and function calling. Based on mistralai/Mistral-7B-v0.3.
SaaS: YesClosed product: Yes
Instruction-tuned language model from Qwen with 7 billion parameters for chat, code and multilingual tasks. Based on Qwen/Qwen2.5-7B.
SaaS: YesClosed product: Yes
Smaller language model from Microsoft with 14 billion parameters, focused on reasoning.
SaaS: YesClosed product: Yes
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