mirror of
https://github.com/aaronpo97/the-biergarten-app.git
synced 2026-06-01 01:54:00 +00:00
Refactor Llama generator, helpers, and build assets
make Gemma 4 the default model, enable thinking mode style updates
This commit is contained in:
42
pipeline/includes/data_model/application_options.h
Normal file
42
pipeline/includes/data_model/application_options.h
Normal file
@@ -0,0 +1,42 @@
|
||||
#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_APPLICATION_OPTIONS_H_
|
||||
#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_APPLICATION_OPTIONS_H_
|
||||
|
||||
/**
|
||||
* @file data_model/application_options.h
|
||||
* @brief Program options for the Biergarten pipeline application.
|
||||
*/
|
||||
|
||||
#include <cstdint>
|
||||
#include <string>
|
||||
|
||||
/**
|
||||
* @brief Program options for the Biergarten pipeline application.
|
||||
*/
|
||||
struct ApplicationOptions {
|
||||
/// @brief Path to the LLM model file (gguf format); mutually exclusive with
|
||||
/// use_mocked.
|
||||
std::string model_path;
|
||||
|
||||
/// @brief Use mocked generator instead of LLM; mutually exclusive with
|
||||
/// model_path.
|
||||
bool use_mocked = false;
|
||||
|
||||
/// @brief LLM sampling temperature (0.0 to 1.0, higher = more random).
|
||||
float temperature = 1.0F;
|
||||
|
||||
/// @brief LLM nucleus sampling top-p parameter (0.0 to 1.0, higher = more
|
||||
/// random).
|
||||
float top_p = 0.95F;
|
||||
|
||||
/// @brief LLM top-k sampling parameter.
|
||||
uint32_t top_k = 64;
|
||||
|
||||
/// @brief Context window size (tokens) for LLM inference. Higher values
|
||||
/// support longer prompts but use more memory.
|
||||
uint32_t n_ctx = 8192;
|
||||
|
||||
/// @brief Random seed for sampling (-1 for random, otherwise non-negative).
|
||||
int seed = -1;
|
||||
};
|
||||
|
||||
#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_APPLICATION_OPTIONS_H_
|
||||
Reference in New Issue
Block a user