The best free local LLM runners (19)

Every option in the catalog for when you need to run a model on your own machine, fully offline — 19 local LLM runners, 19 of them free or freemium, with the pricing tier printed on every row.

19tools listed
19free or freemium
18with no paid plan at all
1sub-categories covered

Best Free Local LLM runners — straight answers

What are the best free local LLM runners?

Flocci AI Tools lists 19 of them, ordered free tiers first: AnythingLLM, BitNet, exo, Google AI Edge Gallery and GPT4All. Every one of them is free or has a free tier. Each entry states what it uniquely does rather than a score.

Which of these are completely free?

18 on this page are marked fully free with no paid plan at all: AnythingLLM, BitNet, exo, Google AI Edge Gallery and GPT4All. The remaining 1 are freemium, trial or paid, and each is labelled with its exact tier so nothing surprises you at sign-up.

How is this list ordered?

Free tools first, then freemium, then trial, then paid, and alphabetically inside each tier. Nobody pays to appear higher: Flocci AI Tools carries no ads, no sponsored slots and no paid listings, so the order reflects price and nothing else.

Best Free Local LLM runners — quick picks

Which local LLM runners have a mobile app?

AnythingLLM, Google AI Edge Gallery, KoboldCpp, MediaPipe (Google AI Edge) and MLC LLM have an iOS or Android app. 5 of the 19 free local LLM runners here can run on your phone.

Which local LLM runners can you self-host or run offline?

AnythingLLM, BitNet, exo, Google AI Edge Gallery and GPT4All can be self-hosted or run locally without a browser — useful for privacy, air-gapped networks, or avoiding API rate limits. 16 of the 19 free local LLM runners here run offline.

All 19 tools, free tiers first

Browse Local LLM Runners →
Best Free Local LLM runners: pricing tier, category and the capability each tool is listed for.
ToolPricingTypeListed for
AnythingLLMFreeLocal LLM RunnersAll-in-one local RAG and agents app
BitNetFreeLocal LLM RunnersOfficial inference framework for 1-bit (ternary) LLMs
exoFreeLocal LLM RunnersLinks everyday devices (Macs, PCs, phones) into one cluster to run models too large for a single machine
Google AI Edge GalleryFreeLocal LLM RunnersRuns Gemma models fully on-device on Android and iOS, offline after one model download
GPT4AllFreeLocal LLM RunnersPrivate local chat with your documents
JanFreeLocal LLM RunnersOpen-source, offline ChatGPT alternative
KoboldCppFreeLocal LLM RunnersShips as a single portable executable with a bundled web UI (KoboldAI Lite)
llama.cppFreeLocal LLM RunnersPure C/C++ inference engine with minimal dependencies, runs on CPU-only hardware
llamafileFreeLocal LLM RunnersPacks model weights and runtime into one executable that runs on macOS, Windows and Linux
LM StudioFreeLocal LLM RunnersPolished desktop GUI for local models
LocalAIFreeLocal LLM RunnersDrop-in OpenAI-compatible API server running models on your own hardware, CPU or GPU
MediaPipe (Google AI Edge)FreeLocal LLM RunnersCross-platform on-device ML for vision, audio, text and LLM inference
MLC LLMFreeLocal LLM RunnersCompiles and runs LLMs natively on iOS, Android, browsers (WebGPU), Mac, Windows and Linux
MLX-LM (Apple)FreeLocal LLM RunnersPurpose-built for Apple Silicon's unified memory architecture, faster than llama.cpp for many models on Mac
OllamaFreeLocal LLM RunnersThe default way to run LLMs locally
Open WebUIFreeLocal LLM RunnersSelf-hosted ChatGPT-style interface
SGLangFreeLocal LLM RunnersRadixAttention for automatic prefix-cache reuse across requests
vLLMFreeLocal LLM RunnersPagedAttention memory management for high-throughput multi-request GPU serving
MstyFreemiumLocal LLM RunnersNexus module: unified gateway for managing model connections, credentials and usage policy across providers

AnythingLLM

Local LLM Runners
free
  • All-in-one local RAG and agents app
  • Chat with your docs privately
  • Works with local or cloud models
  • Free and open-source

BitNet

Local LLM Runners
freeNew
  • Official inference framework for 1-bit (ternary) LLMs
  • Fast lossless CPU inference with low energy use
  • Runs large models on laptops without a GPU
  • MIT-licensed open source

exo

Local LLM Runners
freeNew
  • Links everyday devices (Macs, PCs, phones) into one cluster to run models too large for a single machine
  • Automatic device discovery and model partitioning
  • Apache-2.0 open source

Google AI Edge Gallery

Local LLM Runners
freeNew
  • Runs Gemma models fully on-device on Android and iOS, offline after one model download
  • Chat, image questions, audio transcription and prompt lab
  • No account or Google login required
  • Open-source app from the Google AI Edge team

GPT4All

Local LLM Runners
free
  • Private local chat with your documents
  • Runs on modest laptops
  • LocalDocs RAG built in
  • Free and open-source

Jan

Local LLM Runners
free
  • Open-source, offline ChatGPT alternative
  • No-config, privacy-first GUI
  • Runs fully on your device
  • Free forever

KoboldCpp

Local LLM Runners
free
  • Ships as a single portable executable with a bundled web UI (KoboldAI Lite)
  • Generates text, image, video and speech from one local app
  • Runs on CPU or GPU with no installation required

llama.cpp

Local LLM Runners
free
  • Pure C/C++ inference engine with minimal dependencies, runs on CPU-only hardware
  • Powers the GGUF format used by Ollama, LM Studio and most local runners under the hood
  • Broad quantization support (2-bit to 8-bit) for running large models on consumer hardware

llamafile

Local LLM Runners
freeNew
  • Packs model weights and runtime into one executable that runs on macOS, Windows and Linux
  • Built on llama.cpp with a bundled local web UI and OpenAI-compatible server
  • Mozilla-backed, no install or account needed

LM Studio

Local LLM Runners
free
  • Polished desktop GUI for local models
  • Discover, download and chat with GGUF models
  • Local server with OpenAI-compatible API
  • Free for personal use

LocalAI

Local LLM Runners
freeNew
  • Drop-in OpenAI-compatible API server running models on your own hardware, CPU or GPU
  • Covers text, image, audio and embeddings in one server
  • MIT licensed with multi-user support
freeNew
  • Cross-platform on-device ML for vision, audio, text and LLM inference
  • Ready-made pose, face, hand and object tasks
  • Runs in browser, Android, iOS and desktop
  • Free and open source

MLC LLM

Local LLM Runners
freeNew
  • Compiles and runs LLMs natively on iOS, Android, browsers (WebGPU), Mac, Windows and Linux
  • OpenAI-compatible server engine
  • Apache-2.0

MLX-LM (Apple)

Local LLM Runners
free
  • Purpose-built for Apple Silicon's unified memory architecture, faster than llama.cpp for many models on Mac
  • Built-in LoRA/QLoRA fine-tuning support, not just inference
  • Direct Hugging Face Hub integration for pulling and pushing quantized models

Ollama

Local LLM Runners
free
  • The default way to run LLMs locally
  • One command to run Llama, Qwen, DeepSeek…
  • OpenAI-compatible local API
  • Free and open-source

Open WebUI

Local LLM Runners
free
  • Self-hosted ChatGPT-style interface
  • Works with Ollama and OpenAI-compatible APIs
  • RAG, tools and multi-user
  • Free and open-source

SGLang

Local LLM Runners
free
  • RadixAttention for automatic prefix-cache reuse across requests
  • Day-0 support for newly released open models (e.g. Kimi K3) among the fastest of any runner
  • Scales from single GPU to distributed multi-node clusters with speculative decoding

vLLM

Local LLM Runners
free
  • PagedAttention memory management for high-throughput multi-request GPU serving
  • Supports 200+ model architectures with an OpenAI-compatible API server
  • Originated at UC Berkeley Sky Computing Lab, now the de facto standard for self-hosted production LLM serving

Msty

Local LLM Runners
freemium
  • Nexus module: unified gateway for managing model connections, credentials and usage policy across providers
  • Governance features (SSO, audit logs, zero telemetry) aimed at private/enterprise use
  • Combines local model chat, agents (Go), and knowledge packages (Stack) in one app

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