TabbyAPI
An open-source API service layer for local large models, often used together with models such as xLama to provide a standardized inference interface.
Timeline (last 90 days)
xLama v3 uses mixed quantization with different bit rates for different layers, which can fit a 14B model into 8GB VRAM, and in实测 VRAM is almost fully used.
Ollama, LM Studio, Open WebUI, Docker Model Runner, LocalAI, and TabbyAPI are wrapper-layer tools that do not change underlying capabilities and only provide convenience for invocation.
All Facts (2)
xLama v3 uses mixed quantization with different bit rates for different layers, which can fit a 14B model into 8GB VRAM, and in实测 VRAM is almost fully used.
50%UnverifiedOllama, LM Studio, Open WebUI, Docker Model Runner, LocalAI, and TabbyAPI are wrapper-layer tools that do not change underlying capabilities and only provide convenience for invocation.
50%