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https://github.com/ggerganov/llama.cpp.git
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llava : fix tokenization to not add bos between image embeddings and user prompt (#3645)
* llava : fix tokenization to not add bos after system prompt * set seed --------- Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
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@ -49,9 +49,9 @@ inline bool eval_id(struct llama_context * ctx_llama, int id, int * n_past) {
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return eval_tokens(ctx_llama, tokens, 1, n_past);
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return eval_tokens(ctx_llama, tokens, 1, n_past);
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}
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}
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inline bool eval_string(struct llama_context * ctx_llama, const char* str, int n_batch, int * n_past){
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inline bool eval_string(struct llama_context * ctx_llama, const char* str, int n_batch, int * n_past, bool add_bos){
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std::string str2 = str;
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std::string str2 = str;
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std::vector<llama_token> embd_inp = ::llama_tokenize(ctx_llama, str2, true);
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std::vector<llama_token> embd_inp = ::llama_tokenize(ctx_llama, str2, add_bos);
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eval_tokens(ctx_llama, embd_inp, n_batch, n_past);
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eval_tokens(ctx_llama, embd_inp, n_batch, n_past);
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return true;
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return true;
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}
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}
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@ -97,6 +97,7 @@ int main(int argc, char ** argv) {
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ctx_params.n_ctx = params.n_ctx < 2048 ? 2048 : params.n_ctx; // we need a longer context size to process image embeddings
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ctx_params.n_ctx = params.n_ctx < 2048 ? 2048 : params.n_ctx; // we need a longer context size to process image embeddings
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ctx_params.n_threads = params.n_threads;
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ctx_params.n_threads = params.n_threads;
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ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
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ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
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ctx_params.seed = params.seed;
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llama_context * ctx_llama = llama_new_context_with_model(model, ctx_params);
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llama_context * ctx_llama = llama_new_context_with_model(model, ctx_params);
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@ -106,7 +107,8 @@ int main(int argc, char ** argv) {
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}
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}
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// make sure that the correct mmproj was used, i.e., compare apples to apples
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// make sure that the correct mmproj was used, i.e., compare apples to apples
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int n_llama_embd = llama_n_embd(llama_get_model(ctx_llama));
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const int n_llama_embd = llama_n_embd(llama_get_model(ctx_llama));
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if (n_img_embd != n_llama_embd) {
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if (n_img_embd != n_llama_embd) {
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printf("%s: embedding dim of the multimodal projector (%d) is not equal to that of LLaMA (%d). Make sure that you use the correct mmproj file.\n", __func__, n_img_embd, n_llama_embd);
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printf("%s: embedding dim of the multimodal projector (%d) is not equal to that of LLaMA (%d). Make sure that you use the correct mmproj file.\n", __func__, n_img_embd, n_llama_embd);
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@ -125,14 +127,14 @@ int main(int argc, char ** argv) {
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const int max_tgt_len = params.n_predict < 0 ? 256 : params.n_predict;
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const int max_tgt_len = params.n_predict < 0 ? 256 : params.n_predict;
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// GG: are we sure that the should be a trailing whitespace at the end of this string?
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eval_string(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, true);
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eval_string(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);
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eval_image_embd(ctx_llama, image_embd, n_img_pos, params.n_batch, &n_past);
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eval_image_embd(ctx_llama, image_embd, n_img_pos, params.n_batch, &n_past);
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eval_string(ctx_llama, params.prompt.c_str(), params.n_batch, &n_past);
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eval_string(ctx_llama, (params.prompt + "\nASSISTANT:").c_str(), params.n_batch, &n_past, false);
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eval_string(ctx_llama, "\nASSISTANT:", params.n_batch, &n_past);
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// generate the response
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// generate the response
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printf("\n");
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printf("prompt: '%s'\n", params.prompt.c_str());
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printf("\n");
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printf("\n");
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for (int i = 0; i < max_tgt_len; i++) {
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for (int i = 0; i < max_tgt_len; i++) {
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