mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
1b67731e18
Key changes: * BERT conversion: fix abuse of LlamaHfVocab, do not set BOS or EOS * Nomic Embed conversion: pad vocab instead of slicing embedding tensor * llama_tokenize: handle added special tokens like HF does
43 lines
1.1 KiB
C++
43 lines
1.1 KiB
C++
#include "common.h"
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#include "llama.h"
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#include <cmath>
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#include <cstdio>
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#include <string>
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#include <vector>
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int main(int argc, char ** argv) {
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if (argc < 3 || argv[1][0] == '-') {
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printf("usage: %s MODEL_PATH PROMPT [--ids]\n" , argv[0]);
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return 1;
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}
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const char * model_path = argv[1];
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const char * prompt = argv[2];
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const bool printing_ids = argc > 3 && std::string(argv[3]) == "--ids";
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llama_backend_init();
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llama_model_params model_params = llama_model_default_params();
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model_params.vocab_only = true;
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llama_model * model = llama_load_model_from_file(model_path, model_params);
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llama_context_params ctx_params = llama_context_default_params();
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llama_context * ctx = llama_new_context_with_model(model, ctx_params);
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std::vector<llama_token> tokens;
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tokens = ::llama_tokenize(model, prompt, true, true);
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for (int i = 0; i < (int) tokens.size(); i++) {
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if (printing_ids) {
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printf("%d\n", tokens[i]);
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} else {
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printf("%6d -> '%s'\n", tokens[i], llama_token_to_piece(ctx, tokens[i]).c_str());
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}
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}
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return 0;
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}
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