# Alternatives to llama.cpp

The reference C++ inference engine for GGUF models.

llama.cpp ranks #4 of 7 in Local LLM runners, with an Alt Score of 81. It is licensed under MIT, free from Free and available on Windows, macOS and Linux. 12 of 12 checklist rows are verified against a public source.

Source: https://altcatalog.com/alternatives/llamacpp/
Category: Local LLM runners

## Overview

- **Who it's for**: Developers and technically-inclined users who want to run open-weight LLMs locally—on laptops, servers, or edge devices—without depending on a cloud API. It's the inference layer other local-LLM tools (like Ollama) are frequently built on top of.
- **What you get**: A dependency-light C/C++ inference engine that runs GGUF-format models on CPU and/or GPU, with quantization from 1.5-bit to 8-bit to cut memory use and speed up inference. Includes an OpenAI-compatible server (llama-server), a CLI chat mode, grammar-constrained output, and support for 100+ model architectures (LLaMA, Mistral, Qwen, Gemma, Phi, and multimodal variants). Works across Apple Silicon, NVIDIA, AMD, Intel, and generic CPU hardware, with hybrid CPU+GPU inference for models too large for VRAM alone.
- **How it works**: Models are converted to the GGUF format and executed via ggml, llama.cpp's own tensor library, which compiles compute graphs to backend-specific kernels (Metal, CUDA, HIP, SYCL, Vulkan, or CPU SIMD). Quantization reduces weight precision ahead of or during load to shrink memory footprint while preserving usable output quality.

## Profile

- **License**: MIT (verified 2026-07-09)
- **Pricing model**: Free (verified 2026-07-09)
- **Starts at**: Free (verified 2026-07-09)
- **Platforms**: Windows, macOS, Linux
- **Status**: active (verified 2026-07-09)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [LocalAI](https://altcatalog.com/alternatives/localai.md) | 96 | MIT | Linux, macOS |
| 2 | [Jan](https://altcatalog.com/alternatives/jan.md) | 93 | Apache-2.0 | Windows, macOS, Linux |
| 3 | [LM Studio](https://altcatalog.com/alternatives/lm-studio.md) | 85 | Proprietary (closed source); lms CLI and TypeScript SDK are MIT | Windows, macOS, Linux |
| 4 | [Ollama](https://altcatalog.com/alternatives/ollama.md) | 78 | MIT | macOS, Windows, Linux |
| 5 | [GPT4All](https://altcatalog.com/alternatives/gpt4all.md) | 70 | MIT | Windows, macOS, Linux |
| 6 | [Open WebUI](https://altcatalog.com/alternatives/open-webui.md) | 66 | Open WebUI License (BSD-3-Clause-based with branding restriction) | Linux, Windows, macOS, Web |

Alt Score = Verified coverage (90%) + Visibility (10%). See https://altcatalog.com/how-alt-score-works/

## Feature comparison

Legend: Yes / No / Partial / ? (not verified).

| Local LLM runners checklist | llama.cpp | LocalAI | Jan | LM Studio | Ollama | GPT4All |
|---|---|---|---|---|---|---|
| Pricing model | Free | Free | Free | Free | Freemium | Free |
| Starts at | Free | Free | Free | Free | Free | Free |
| License | MIT | MIT | Apache-2.0 | Proprietary (closed source); lms CLI and TypeScript SDK are MIT | MIT | MIT |
| Platforms | Windows, macOS, Linux | Linux, macOS | Windows, macOS, Linux | Windows, macOS, Linux | macOS, Windows, Linux | Windows, macOS, Linux |
| GGUF model support | Yes | Yes | Yes | Yes | Yes | Yes |
| GPU acceleration | Yes | Yes | Yes | Yes | Yes | Yes |
| OpenAI-compatible API server | Yes | Yes | Yes | Yes | Yes | Yes |
| Built-in model library | No | Yes | Yes | Yes | Yes | Yes |
| Chat UI included | Yes | Yes | Yes | Yes | No | Yes |
| CLI | Yes | Yes | Yes | Yes | Yes | ? |
| Multi-modal (vision) support | Yes | Yes | Yes | Yes | Yes | ? |
| Quantization options | Yes | Yes | Yes | Yes | Yes | Yes |
| Runs fully offline | Yes | Yes | Yes | Yes | ? | ? |
| Open source | Yes | Yes | Yes | No | Yes | Yes |
| Model fine-tuning | No | Yes | No | ? | No | ? |
| Hardware requirements shown | Partial | Partial | Yes | Yes | Yes | Yes |

## Sources

Sources for llama.cpp. Each alternative is sourced on its own page.

- **Pricing model**: Free — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/LICENSE> (verified 2026-07-09)
  - Quote: “Permission is hereby granted, free of charge, to any person obtaining a copy”
- **License**: MIT — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/LICENSE> (verified 2026-07-09)
  - Quote: “MIT License

Copyright (c) 2023-2026 The ggml authors

Permission is hereby granted, free of charge, to any person obtaining a copy”
- **Status**: active — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Note: Frequent recent PRs; very active.
  - Quote: “Multimodal support arrived in `llama-server`”
- **Starts at**: Free — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/LICENSE> (verified 2026-07-09)
  - Quote: “Permission is hereby granted, free of charge, to any person obtaining a copy”
- **Platforms**: Windows, macOS, Linux — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/docs/install.md> (verified 2026-07-09)
  - Quote: “| Install via | Windows | Mac  | Linux |
|-------------|---------|------|-------|
| conda-forge | ✅      | ✅   | ✅   |”
- **GGUF model support**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Quote: “`llama.cpp` requires the model to be stored in the [GGUF](https://github.com/ggml-org/ggml/blob/master/docs/gguf.md) file format.”
- **GPU acceleration**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Quote: “Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP and Moore Threads GPUs via MUSA) - Vulkan and SYCL backend support”
- **OpenAI-compatible API server**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/tools/server/README.md> (verified 2026-07-09)
  - Quote: “[OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions, responses, and embeddings routes”
- **Built-in model library**: No — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Note: No built-in one-click catalog UI; downloads from HF via -hf CLI flag.
  - Quote: “Once installed, you'll need a model to work with. Head to the [Obtaining and quantizing models](#obtaining-and-quantizing-models) section”
- **Chat UI included**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/tools/server/README.md> (verified 2026-07-09)
  - Quote: “Set of LLM REST APIs and a web UI to interact with llama.cpp. ... Easy-to-use web UI”
- **CLI**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Quote: “llama-cli -m my_model.gguf”
- **Multi-modal (vision) support**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/docs/multimodal.md> (verified 2026-07-09)
  - Quote: “llama.cpp supports multimodal input via `libmtmd`. ... Currently, we support **image**, **audio** and **video** input.”
- **Quantization options**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Quote: “1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use”
- **Runs fully offline**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/tools/server/README.md> (verified 2026-07-09)
  - Quote: “--offline` | Offline mode: forces use of cache, prevents network access”
- **Open source**: Yes — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/LICENSE> (verified 2026-07-09)
  - Quote: “MIT License

Copyright (c) 2023-2026 The ggml authors”
- **Model fine-tuning**: No — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Note: Inference engine; fine-tuning handled by external tools (unsloth) that export to GGUF.
  - Quote: “[unslothai/unsloth](https://github.com/unslothai/unsloth) – 🦥 exports/saves fine-tuned and trained models to GGUF”
- **Hardware requirements shown**: Partial — <https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md> (verified 2026-07-09)
  - Note: Lists supported backends/hardware but no explicit minimum-spec table.
  - Quote: “CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity”

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Ranked by verified data, never by who paid. https://altcatalog.com/trust/