examples: support LLaVA v1.5 (multimodal model) (#3436)
* WIP: start implementing LLaVA * rm scratch buf for now, will revert after cleanup * LLaVA image encoder is working. will combine with llama * Add llava inference code, but it's buggy. debugging * LLaVA is working e2e, needs to optimize memory allocation + cleanup * Use ggml_allocr + rm unnecessary code * fix: crlf -> lf * fix: new line at EoF * fix: trailing whitespace * Add readme * Update readme * Some cleanup * Are you happy editorconfig? * rm unused batch image preprocessing * rm unused import * fix: rm designated initializers * introduce pad-to-square mode for non-square images * are you happy editorconfig? * gitignore /llava * Handle cases where image file does not exist * add llava target to Makefile * add support for 13b model variant * Maybe seed is unlucky? * Check if apples are compared to apples * are you happy editorconfig? * Use temperature = 0.1 by default * command line: use gpt_params_parse() * minor * handle default n_predict * fix typo * llava : code formatting, rename files, fix compile warnings * do not use Wno-cast-qual for MSVC --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -104,6 +104,10 @@ struct gpt_params {
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bool numa = false; // attempt optimizations that help on some NUMA systems
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bool verbose_prompt = false; // print prompt tokens before generation
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bool infill = false; // use infill mode
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// multimodal models (see examples/llava)
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std::string mmproj = ""; // path to multimodal projector
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std::string image = ""; // path to an image file
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};
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bool gpt_params_parse(int argc, char ** argv, gpt_params & params);
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