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Qwen3

Collect usage information and model entry points for the Qwen3 language-model family.

Rapid-MLX

Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.

Popularity
Repository stars27,700Highest4,094
7-day net stars——
Fork2,096Highest438
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-01-092026-11-03
Maintenance notesUnknownNot verified
Repository created2024-02-052026-02-25
License & use
LicenseLicense not declaredLicense not declared
License source—License source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeModel servingCoding assistants · Model serving
TypeModels & adaptersApps & systems
SubcategoryLanguage modelsAI apps
PlatformNot verifiedNot verified
Cost detailsCheck hosted-service, model and infrastructure costs for the option you choose.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-022026-11-03
MetricRepository Stars, not unique usersRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectCollect usage information and model entry points for the Qwen3 language-model family.Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
Measured at2026-11-02 18:45 UTC2026-11-03 09:38 UTC

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