From d7cdb0203d89b5e1390c27281e32886a3230a3aa Mon Sep 17 00:00:00 2001 From: Satish K C Date: Fri, 27 Mar 2026 11:53:27 -0500 Subject: [PATCH] docs: update llama.cpp repo links from ggerganov to ggml-org --- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../docs/pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppchatgenerator.mdx | 2 +- .../pipeline-components/generators/llamacppgenerator.mdx | 2 +- 20 files changed, 20 insertions(+), 20 deletions(-) diff --git a/docs-website/docs/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/docs/pipeline-components/generators/llamacppchatgenerator.mdx index e7df99bb25e..8ec53623c5d 100644 --- a/docs-website/docs/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/docs/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/docs/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/docs/pipeline-components/generators/llamacppgenerator.mdx index c45fb8c5463..714eb42db3d 100644 --- a/docs-website/docs/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/docs/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppchatgenerator.mdx index 3d52555c74f..54c73d45759 100644 --- a/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppchatgenerator.mdx @@ -20,7 +20,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppgenerator.mdx index d93716407e5..095d0f81547 100644 --- a/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.18/pipeline-components/generators/llamacppgenerator.mdx @@ -20,7 +20,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppchatgenerator.mdx index df8183fe688..d8cab82fcc2 100644 --- a/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppgenerator.mdx index 34889a37b8f..27036f082b0 100644 --- a/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.19/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppchatgenerator.mdx index bbdf4d27449..ede636579f1 100644 --- a/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppgenerator.mdx index 6d05117f217..ee46d410cad 100644 --- a/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.20/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppchatgenerator.mdx index bbdf4d27449..ede636579f1 100644 --- a/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppgenerator.mdx index 6d05117f217..ee46d410cad 100644 --- a/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.21/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppchatgenerator.mdx index bbdf4d27449..ede636579f1 100644 --- a/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppgenerator.mdx index 6d05117f217..ee46d410cad 100644 --- a/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.22/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppchatgenerator.mdx index bbdf4d27449..ede636579f1 100644 --- a/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppgenerator.mdx index 6d05117f217..ee46d410cad 100644 --- a/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.23/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppchatgenerator.mdx index bbdf4d27449..ede636579f1 100644 --- a/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppgenerator.mdx index 6d05117f217..ee46d410cad 100644 --- a/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.24/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppchatgenerator.mdx index c208c3a54c2..52646dd73a6 100644 --- a/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppgenerator.mdx index c45fb8c5463..714eb42db3d 100644 --- a/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.25/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppchatgenerator.mdx b/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppchatgenerator.mdx index e7df99bb25e..8ec53623c5d 100644 --- a/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppchatgenerator.mdx +++ b/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppchatgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` enables chat completion using an LLM running o ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format, which can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppChatGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization. diff --git a/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppgenerator.mdx b/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppgenerator.mdx index c45fb8c5463..714eb42db3d 100644 --- a/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppgenerator.mdx +++ b/docs-website/versioned_docs/version-2.26/pipeline-components/generators/llamacppgenerator.mdx @@ -24,7 +24,7 @@ description: "`LlamaCppGenerator` provides an interface to generate text using a ## Overview -[Llama.cpp](https://github.com/ggerganov/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). +[Llama.cpp](https://github.com/ggml-org/llama.cpp) is a library written in C/C++ for efficient inference of Large Language Models. It leverages the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference. This means it is possible to run LLMs efficiently on standard machines (even without GPUs). `Llama.cpp` uses the quantized binary file of the LLM in GGUF format that can be downloaded from [Hugging Face](https://huggingface.co/models?library=gguf). `LlamaCppGenerator` supports models running on `Llama.cpp` by taking the path to the locally saved GGUF file as `model` parameter at initialization.