RUNTIME / MEDIUM
LocalAI
One OpenAI-compatible endpoint for text, vision, speech and image models, GPU optional
Źródło pierwotneDifficultyMediumSetup profile
Platforms5cpu · apple · nvidia · amd · intel
APIOpenAI + Anthropic + ElevenLabs-compatible:8080
01 / INSTALL & RUN
Installation depends on your OS. These commands are examples or templates: replace placeholders and verify quantization, file format, drivers and runtime support. Memory fit does not guarantee deployment.
- 1Install
docker run -ti --name local-ai -p 8080:8080 localai/localai:latest - 2Start a model
local-ai run <verified-gallery-or-Hugging-Face-model-name> - 3Connect your app
OpenAI + Anthropic + ElevenLabs-compatible · :8080. Keep the service bound to localhost unless you add authentication and network controls.
Uwaga
Backends are separate images pulled on demand, so the first run needs network access and disk. Pick the image tag for your accelerator; the CPU image does not silently enable a GPU.
02 / COMPATIBLE MODELS
Reprezentatywne modele open-weight
Alibaba Qwen
Qwen3.6 27B
27BQ4 / NVFP4 estimate
- Szacowana pamięć
- ~18.5 GB
- Kontekst
- 262K native
Alibaba Qwen
Qwen3.8 27B
27BQ4 estimate
- Szacowana pamięć
- ~19.5 GB
- Kontekst
- 262K native
Alibaba Qwen
Qwen3.6 35B-A3B
35B3B active · Q4 / NVFP4 MoE
- Szacowana pamięć
- ~25 GB
- Kontekst
- 262K native
DeepSeek
DeepSeek V4 Flash
284B13B active · Official FP4 + FP8 mixed
- Szacowana pamięć
- ~176 GB
- Kontekst
- 1M native
Google
Gemma 3 1B
1BINT4 / GGUF Q4
- Szacowana pamięć
- ~1.4 GB
- Kontekst
- 32K
Meta
Llama 3.2 3B
3BGGUF Q4
- Szacowana pamięć
- ~2.8 GB
- Kontekst
- 128K