mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
synced 2026-05-01 03:41:53 +00:00
Port mdmd from mainline + Qwen2/2.5-VL support (#798)
* Add mtmd: the beginning * Add mtmd: mtmd.cpp compiles * Add mtmd: clip initialization compiles * Add mtmd: clip.cpp compiles * Add mtmd: builds successfully * Add CPU implementation for GGML_OP_GLU * Add CUDA implementation for GGML_OP_GLU * Add CPU implementation for GGML_OP_CONV_2D and GGML_OP_CONV_2D_DW * Add CUDA implementation for GGML_OP_CONV_2D and GGML_OP_CONV_2D_DW * Add mtmd: refresh CPU rope * Add mtmd: refresh CUDA rope * Add mtmd: add Qwen2-VL * Add mtmd: Qwen2.5-VL text seems to work with this change * Add mtmd: fix swiglu * Add mtmd: use LOG_TEE so generated tokens show up in terminal * Add mtmd: do not attempt to load a GPU backend if none are available * GLU, not GPU * Fix typo * Fix new/free mismatch * LOG stuff * Add mtmd: this fixes gibberish on second image --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@@ -68,6 +68,29 @@ struct llama_control_vector_load_info;
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int32_t cpu_get_num_physical_cores();
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int32_t cpu_get_num_math();
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enum llama_example {
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LLAMA_EXAMPLE_COMMON,
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LLAMA_EXAMPLE_SPECULATIVE,
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LLAMA_EXAMPLE_MAIN,
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LLAMA_EXAMPLE_EMBEDDING,
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LLAMA_EXAMPLE_PERPLEXITY,
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LLAMA_EXAMPLE_RETRIEVAL,
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LLAMA_EXAMPLE_PASSKEY,
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LLAMA_EXAMPLE_IMATRIX,
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LLAMA_EXAMPLE_BENCH,
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LLAMA_EXAMPLE_SERVER,
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LLAMA_EXAMPLE_CVECTOR_GENERATOR,
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LLAMA_EXAMPLE_EXPORT_LORA,
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LLAMA_EXAMPLE_MTMD,
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LLAMA_EXAMPLE_LOOKUP,
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LLAMA_EXAMPLE_PARALLEL,
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LLAMA_EXAMPLE_TTS,
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LLAMA_EXAMPLE_DIFFUSION,
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LLAMA_EXAMPLE_FINETUNE,
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LLAMA_EXAMPLE_COUNT,
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};
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//
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// CLI argument parsing
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//
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@@ -86,6 +109,14 @@ enum common_reasoning_format {
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COMMON_REASONING_FORMAT_DEEPSEEK, // Extract thinking tag contents and return as `message.reasoning_content`, including in streaming deltas.
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};
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struct model_paths {
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std::string path = ""; // model local path // NOLINT
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std::string url = ""; // model url to download // NOLINT
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std::string hf_repo = ""; // HF repo // NOLINT
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std::string hf_file = ""; // HF file // NOLINT
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std::string docker_repo = ""; // Docker repo // NOLINT
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};
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struct gpt_params {
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uint32_t seed = LLAMA_DEFAULT_SEED; // RNG seed
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@@ -230,8 +261,10 @@ struct gpt_params {
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std::string cache_type_k_draft = ""; // KV cache data type for K for the draft model
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std::string cache_type_v_draft = ""; // KV cache data type for V for the draft model
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// multimodal models (see examples/llava)
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std::string mmproj = ""; // path to multimodal projector
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// multimodal models (see examples/mtmd)
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model_paths mmproj;
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bool mmproj_use_gpu = true; // use GPU for multimodal model
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bool no_mmproj = false; // explicitly disable multimodal model
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std::vector<std::string> image; // path to image file(s)
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// embedding
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