# llama.cpp INI Presets ## Introduction The INI preset feature, introduced in [PR#17859](https://github.com/ggml-org/llama.cpp/pull/17859), allows users to create reusable and shareable parameter configurations for llama.cpp. ### Using Presets with the Server When running multiple models on the server (router mode), INI preset files can be used to configure model-specific parameters. Please refer to the [server documentation](../tools/server/README.md) for more details. ### Using a Remote Preset > [!NOTE] > > This feature is currently only supported via the `-hf` option. For GGUF models hosted on Hugging Face, you can include a `preset.ini` file in the root directory of the repository to define specific configurations for that model. Example: ```ini hf-repo-draft = username/my-draft-model-GGUF temp = 0.5 top-k = 20 top-p = 0.95 ``` For security reasons, only certain options are allowed. Please refer to [preset.cpp](../common/preset.cpp) for the complete list of permitted options. Example usage: Assuming your repository `username/my-model-with-preset` contains a `preset.ini` with the configuration above: ```sh llama-cli -hf username/my-model-with-preset # This is equivalent to: llama-cli -hf username/my-model-with-preset \ --hf-repo-draft username/my-draft-model-GGUF \ --temp 0.5 \ --top-k 20 \ --top-p 0.95 ``` You can also override preset arguments by specifying them on the command line: ```sh # Force temp = 0.1, overriding the preset value llama-cli -hf username/my-model-with-preset --temp 0.1 ``` If you want to define multiple preset configurations for one or more GGUF models, you can create a blank HF repo for each preset. Each HF repo should contain a `preset.ini` file that references the actual model(s): ```ini hf-repo = user/my-model-main hf-repo-draft = user/my-model-draft temp = 0.8 ctx-size = 1024 ; (and other configurations) ``` ### Named presets If you want to define multiple preset configurations for one or more GGUF models, you can create a blank HF repo containing a single `preset.ini` file that references the actual model(s): ```ini [*] mmap = 1 [gpt-oss-20b-hf] hf = ggml-org/gpt-oss-20b-GGUF batch-size = 2048 ubatch-size = 2048 top-p = 1.0 top-k = 0 min-p = 0.01 temp = 1.0 chat-template-kwargs = {"reasoning_effort": "high"} [gpt-oss-120b-hf] hf = ggml-org/gpt-oss-120b-GGUF batch-size = 2048 ubatch-size = 2048 top-p = 1.0 top-k = 0 min-p = 0.01 temp = 1.0 chat-template-kwargs = {"reasoning_effort": "high"} ``` You can then use it via `llama-cli` or `llama-server`, example: ```sh llama-server -hf user/repo:gpt-oss-120b-hf ``` Please make sure to provide the correct `hf-repo` for each child preset. Otherwise, you may get error: `The specified tag is not a valid quantization scheme.`