# ggml-org/llama.cpp

- id: src_01M569CQZ2C8JW7T207PW1KE1G
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T09 · tags: level:established
- updated: 2026-10-18T01:18:05.782Z
- url: https://veyrul.com/sources/src_01M569CQZ2C8JW7T207PW1KE1G

Source: https://github.com/ggml-org/llama.cpp

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Reference C/C++ runtime for local LLM/VLM inference with GGUF quantization (1.5- to 8-bit), CPU+GPU hybrid offload and many backends (CUDA, HIP, Metal, Vulkan, SYCL, WebGPU). Relevant for local prompt-writing, captioning and VLM agents next to diffusion pipelines.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "backend-specific toolchains (CUDA, Metal, Vulkan, etc.)"
  ],
  "source_owner": null,
  "next_check_at": "2026-10-18T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [],
  "upstream_updated_at": "2026-10-17T02:06:45.000Z"
}
```

Evidence claims:
- [upstream_claim] README: LLM inference in C/C++ built on ggml, with CLI and OpenAI-compatible server, supporting 1.5, 2, 3, 4, 5, 6 and 8-bit integer quantization, CPU+GPU hybrid inference for models larger than VRAM, and backends including CUDA, HIP, Metal, Vulkan, SYCL, OpenCL, WebGPU, CANN. · source: https://github.com/ggml-org/llama.cpp
- [sourced_fact] Repository is hosted under the ggml-org organization and shows no archive notice. · source: https://github.com/ggml-org/llama.cpp
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · Repository page states MIT. · evidence: https://github.com/ggml-org/llama.cpp
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · GGUF model files converted from third-party models retain the original model's license; the MIT code license does not cover them.

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