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synced 2025-06-29 20:45:04 +00:00
llava : support for Yi-VL and fix for mobileVLM (#5093)
* Support for Yi-VL, templating fix for mobileVLM * ws * Update examples/llava/clip.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update llava-cli.cpp * Update clip.cpp bugfix for new conversions --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -148,10 +148,35 @@ static void process_prompt(struct llava_context * ctx_llava, struct llava_image_
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const int max_tgt_len = params->n_predict < 0 ? 256 : params->n_predict;
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const bool add_bos = llama_should_add_bos_token(llama_get_model(ctx_llava->ctx_llama));
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// llava chat format is "<system_prompt>\nUSER:<image_embeddings>\n<textual_prompt>\nASSISTANT:"
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eval_string(ctx_llava->ctx_llama, "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:", params->n_batch, &n_past, add_bos);
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std::string system_prompt, user_prompt;
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size_t image_pos = prompt.find("<image>");
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if (image_pos != std::string::npos) {
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// new templating mode: Provide the full prompt including system message and use <image> as a placeholder for the image
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system_prompt = prompt.substr(0, image_pos);
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user_prompt = prompt.substr(image_pos + std::string("<image>").length());
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// We replace \n with actual newlines in user_prompt, just in case -e was not used in templating string
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size_t pos = 0;
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while ((pos = user_prompt.find("\\n", pos)) != std::string::npos) {
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user_prompt.replace(pos, 2, "\n");
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pos += 1; // Advance past the replaced newline
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}
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while ((pos = system_prompt.find("\\n", pos)) != std::string::npos) {
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system_prompt.replace(pos, 2, "\n");
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pos += 1; // Advance past the replaced newline
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}
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printf("system_prompt: %s\n", system_prompt.c_str());
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printf("user_prompt: %s\n", user_prompt.c_str());
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} else {
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// llava-1.5 native mode
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system_prompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:";
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user_prompt = prompt + "\nASSISTANT:";
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}
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eval_string(ctx_llava->ctx_llama, system_prompt.c_str(), params->n_batch, &n_past, add_bos);
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llava_eval_image_embed(ctx_llava->ctx_llama, image_embed, params->n_batch, &n_past);
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eval_string(ctx_llava->ctx_llama, (prompt + "\nASSISTANT:").c_str(), params->n_batch, &n_past, false);
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eval_string(ctx_llava->ctx_llama, user_prompt.c_str(), params->n_batch, &n_past, false);
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// generate the response
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@ -162,6 +187,7 @@ static void process_prompt(struct llava_context * ctx_llava, struct llava_image_
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for (int i = 0; i < max_tgt_len; i++) {
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const char * tmp = sample(ctx_sampling, ctx_llava->ctx_llama, &n_past);
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if (strcmp(tmp, "</s>") == 0) break;
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if (strstr(tmp, "###")) break; // Yi-VL behavior
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printf("%s", tmp);
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fflush(stdout);
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