mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-25 05:48:47 +01:00
Inifinite generation via context swapping (#71)
This commit is contained in:
parent
03f7e33560
commit
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@ -7,4 +7,10 @@
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cd `dirname $0`
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cd `dirname $0`
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cd ..
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cd ..
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./main -m ./models/7B/ggml-model-q4_0.bin -b 128 -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt
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# Important:
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#
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# "--keep 48" is based on the contents of prompts/chat-with-bob.txt
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#
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./main -m ./models/7B/ggml-model-q4_0.bin -c 2048 -b 1024 -n 256 --keep 48 \
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--repeat_penalty 1.0 --color -i \
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-r "User:" -f prompts/chat-with-bob.txt
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@ -112,6 +112,12 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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}
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}
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params.n_batch = std::stoi(argv[i]);
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params.n_batch = std::stoi(argv[i]);
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params.n_batch = std::min(512, params.n_batch);
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params.n_batch = std::min(512, params.n_batch);
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} else if (arg == "--keep") {
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if (++i >= argc) {
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invalid_param = true;
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break;
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}
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params.n_keep = std::stoi(argv[i]);
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} else if (arg == "-m" || arg == "--model") {
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} else if (arg == "-m" || arg == "--model") {
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if (++i >= argc) {
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if (++i >= argc) {
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invalid_param = true;
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invalid_param = true;
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@ -134,7 +140,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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params.use_mlock = true;
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params.use_mlock = true;
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} else if (arg == "--mtest") {
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} else if (arg == "--mtest") {
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params.mem_test = true;
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params.mem_test = true;
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} else if (arg == "--verbose_prompt") {
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} else if (arg == "--verbose-prompt") {
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params.verbose_prompt = true;
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params.verbose_prompt = true;
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} else if (arg == "-r" || arg == "--reverse-prompt") {
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} else if (arg == "-r" || arg == "--reverse-prompt") {
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if (++i >= argc) {
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if (++i >= argc) {
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@ -210,6 +216,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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fprintf(stderr, " --n_parts N number of model parts (default: -1 = determine from dimensions)\n");
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fprintf(stderr, " --n_parts N number of model parts (default: -1 = determine from dimensions)\n");
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fprintf(stderr, " -b N, --batch_size N batch size for prompt processing (default: %d)\n", params.n_batch);
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fprintf(stderr, " -b N, --batch_size N batch size for prompt processing (default: %d)\n", params.n_batch);
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fprintf(stderr, " --perplexity compute perplexity over the prompt\n");
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fprintf(stderr, " --perplexity compute perplexity over the prompt\n");
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fprintf(stderr, " --keep number of tokens to keep from the initial prompt\n");
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if (ggml_mlock_supported()) {
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if (ggml_mlock_supported()) {
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fprintf(stderr, " --mlock force system to keep model in RAM rather than swapping or compressing\n");
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fprintf(stderr, " --mlock force system to keep model in RAM rather than swapping or compressing\n");
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}
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}
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@ -21,6 +21,7 @@ struct gpt_params {
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int32_t n_parts = -1; // amount of model parts (-1 = determine from model dimensions)
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int32_t n_parts = -1; // amount of model parts (-1 = determine from model dimensions)
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int32_t n_ctx = 512; // context size
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int32_t n_ctx = 512; // context size
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int32_t n_batch = 8; // batch size for prompt processing
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int32_t n_batch = 8; // batch size for prompt processing
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int32_t n_keep = 0; // number of tokens to keep from initial prompt
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// sampling parameters
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// sampling parameters
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int32_t top_k = 40;
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int32_t top_k = 40;
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@ -44,8 +44,20 @@ enum console_state {
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static console_state con_st = CONSOLE_STATE_DEFAULT;
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static console_state con_st = CONSOLE_STATE_DEFAULT;
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static bool con_use_color = false;
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static bool con_use_color = false;
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void set_console_state(console_state new_st)
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void enable_console_colors() {
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{
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#if defined (_WIN32)
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if (params.use_color) {
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// Enable ANSI colors on Windows 10+
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unsigned long dwMode = 0;
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void* hConOut = GetStdHandle((unsigned long)-11); // STD_OUTPUT_HANDLE (-11)
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if (hConOut && hConOut != (void*)-1 && GetConsoleMode(hConOut, &dwMode) && !(dwMode & 0x4)) {
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SetConsoleMode(hConOut, dwMode | 0x4); // ENABLE_VIRTUAL_TERMINAL_PROCESSING (0x4)
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}
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}
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#endif
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}
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void set_console_state(console_state new_st) {
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if (!con_use_color) return;
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if (!con_use_color) return;
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// only emit color code if state changed
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// only emit color code if state changed
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if (new_st != con_st) {
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if (new_st != con_st) {
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@ -96,6 +108,14 @@ int main(int argc, char ** argv) {
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return 0;
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return 0;
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}
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}
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if (params.embedding) {
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printf("\n************\n");
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printf("%s: please use the 'embedding' tool for embedding calculations\n", __func__);
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printf("************\n\n");
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return 0;
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}
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if (params.n_ctx > 2048) {
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if (params.n_ctx > 2048) {
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fprintf(stderr, "%s: warning: model does not support context sizes greater than 2048 tokens (%d specified);"
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fprintf(stderr, "%s: warning: model does not support context sizes greater than 2048 tokens (%d specified);"
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"expect poor results\n", __func__, params.n_ctx);
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"expect poor results\n", __func__, params.n_ctx);
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@ -165,8 +185,6 @@ int main(int argc, char ** argv) {
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return 0;
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return 0;
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}
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}
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int n_past = 0;
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// Add a space in front of the first character to match OG llama tokenizer behavior
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// Add a space in front of the first character to match OG llama tokenizer behavior
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params.prompt.insert(0, 1, ' ');
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params.prompt.insert(0, 1, ' ');
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@ -175,7 +193,13 @@ int main(int argc, char ** argv) {
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const int n_ctx = llama_n_ctx(ctx);
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const int n_ctx = llama_n_ctx(ctx);
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params.n_predict = std::min(params.n_predict, n_ctx - (int) embd_inp.size());
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if ((int) embd_inp.size() > n_ctx - 4) {
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fprintf(stderr, "%s: error: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4);
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return 1;
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}
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params.n_keep = std::min(params.n_keep, (int) embd_inp.size());
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//params.n_predict = std::min(params.n_predict, n_ctx - (int) embd_inp.size());
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// prefix & suffix for instruct mode
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// prefix & suffix for instruct mode
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const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true);
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const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true);
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@ -206,6 +230,13 @@ int main(int argc, char ** argv) {
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for (int i = 0; i < (int) embd_inp.size(); i++) {
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for (int i = 0; i < (int) embd_inp.size(); i++) {
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fprintf(stderr, "%6d -> '%s'\n", embd_inp[i], llama_token_to_str(ctx, embd_inp[i]));
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fprintf(stderr, "%6d -> '%s'\n", embd_inp[i], llama_token_to_str(ctx, embd_inp[i]));
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}
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}
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if (params.n_keep > 0) {
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fprintf(stderr, "%s: static prompt based on n_keep: '", __func__);
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for (int i = 0; i < params.n_keep; i++) {
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fprintf(stderr, "%s", llama_token_to_str(ctx, embd_inp[i]));
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}
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fprintf(stderr, "'\n");
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}
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fprintf(stderr, "\n");
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fprintf(stderr, "\n");
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}
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}
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@ -222,7 +253,7 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "%s: interactive mode on.\n", __func__);
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fprintf(stderr, "%s: interactive mode on.\n", __func__);
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if(params.antiprompt.size()) {
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if (params.antiprompt.size()) {
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for (auto antiprompt : params.antiprompt) {
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for (auto antiprompt : params.antiprompt) {
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fprintf(stderr, "Reverse prompt: '%s'\n", antiprompt.c_str());
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fprintf(stderr, "Reverse prompt: '%s'\n", antiprompt.c_str());
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}
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}
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@ -232,14 +263,12 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "Input prefix: '%s'\n", params.input_prefix.c_str());
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fprintf(stderr, "Input prefix: '%s'\n", params.input_prefix.c_str());
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}
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}
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}
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}
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fprintf(stderr, "sampling parameters: temp = %f, top_k = %d, top_p = %f, repeat_last_n = %i, repeat_penalty = %f\n", params.temp, params.top_k, params.top_p, params.repeat_last_n, params.repeat_penalty);
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fprintf(stderr, "sampling: temp = %f, top_k = %d, top_p = %f, repeat_last_n = %i, repeat_penalty = %f\n", params.temp, params.top_k, params.top_p, params.repeat_last_n, params.repeat_penalty);
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fprintf(stderr, "generate: n_ctx = %d, n_batch = %d, n_predict = %d, n_keep = %d\n", n_ctx, params.n_batch, params.n_predict, params.n_keep);
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fprintf(stderr, "\n\n");
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fprintf(stderr, "\n\n");
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std::vector<llama_token> embd;
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// TODO: replace with ring-buffer
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std::vector<llama_token> last_n_tokens(n_ctx);
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int last_n_size = params.repeat_last_n;
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std::vector<llama_token> last_n_tokens(last_n_size);
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std::fill(last_n_tokens.begin(), last_n_tokens.end(), 0);
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std::fill(last_n_tokens.begin(), last_n_tokens.end(), 0);
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if (params.interactive) {
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if (params.interactive) {
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@ -252,27 +281,42 @@ int main(int argc, char ** argv) {
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is_interacting = params.interactive_start || params.instruct;
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is_interacting = params.interactive_start || params.instruct;
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}
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}
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int input_consumed = 0;
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bool input_noecho = false;
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bool input_noecho = false;
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int remaining_tokens = params.n_predict;
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int n_past = 0;
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int n_remain = params.n_predict;
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int n_consumed = 0;
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#if defined (_WIN32)
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if (params.use_color) {
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// Enable ANSI colors on Windows 10+
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unsigned long dwMode = 0;
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void* hConOut = GetStdHandle((unsigned long)-11); // STD_OUTPUT_HANDLE (-11)
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if (hConOut && hConOut != (void*)-1 && GetConsoleMode(hConOut, &dwMode) && !(dwMode & 0x4)) {
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SetConsoleMode(hConOut, dwMode | 0x4); // ENABLE_VIRTUAL_TERMINAL_PROCESSING (0x4)
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}
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}
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#endif
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// the first thing we will do is to output the prompt, so set color accordingly
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// the first thing we will do is to output the prompt, so set color accordingly
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enable_console_colors();
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set_console_state(CONSOLE_STATE_PROMPT);
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set_console_state(CONSOLE_STATE_PROMPT);
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while (remaining_tokens > 0 || params.interactive) {
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std::vector<llama_token> embd;
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while (n_remain > 0 || params.interactive) {
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// predict
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// predict
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if (embd.size() > 0) {
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if (embd.size() > 0) {
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// infinite text generation via context swapping
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// if we run out of context:
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// - take the n_keep first tokens from the original prompt (via n_past)
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// - take half of the last (n_ctx - n_keep) tokens and recompute the logits in a batch
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if (n_past + (int) embd.size() > n_ctx) {
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const int n_left = n_past - params.n_keep;
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n_past = params.n_keep;
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// insert n_left/2 tokens at the start of embd from last_n_tokens
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embd.insert(embd.begin(), last_n_tokens.begin() + n_ctx - n_left/2 - embd.size(), last_n_tokens.end() - embd.size());
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//printf("\n---\n");
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//printf("resetting: '");
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//for (int i = 0; i < (int) embd.size(); i++) {
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// printf("%s", llama_token_to_str(ctx, embd[i]));
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//}
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//printf("'\n");
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//printf("\n---\n");
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}
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if (llama_eval(ctx, embd.data(), embd.size(), n_past, params.n_threads)) {
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if (llama_eval(ctx, embd.data(), embd.size(), n_past, params.n_threads)) {
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fprintf(stderr, "%s : failed to eval\n", __func__);
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fprintf(stderr, "%s : failed to eval\n", __func__);
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return 1;
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return 1;
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@ -282,7 +326,7 @@ int main(int argc, char ** argv) {
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n_past += embd.size();
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n_past += embd.size();
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embd.clear();
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embd.clear();
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if ((int) embd_inp.size() <= input_consumed && !is_interacting) {
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if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
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// out of user input, sample next token
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// out of user input, sample next token
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const float top_k = params.top_k;
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const float top_k = params.top_k;
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const float top_p = params.top_p;
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const float top_p = params.top_p;
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@ -298,7 +342,9 @@ int main(int argc, char ** argv) {
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logits[llama_token_eos()] = 0;
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logits[llama_token_eos()] = 0;
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}
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}
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id = llama_sample_top_p_top_k(ctx, last_n_tokens.data(), last_n_tokens.size(), top_k, top_p, temp, repeat_penalty);
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id = llama_sample_top_p_top_k(ctx,
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last_n_tokens.data() + n_ctx - params.repeat_last_n,
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params.repeat_last_n, top_k, top_p, temp, repeat_penalty);
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.push_back(id);
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last_n_tokens.push_back(id);
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@ -321,14 +367,14 @@ int main(int argc, char ** argv) {
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input_noecho = false;
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input_noecho = false;
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// decrement remaining sampling budget
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// decrement remaining sampling budget
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--remaining_tokens;
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--n_remain;
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} else {
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} else {
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// some user input remains from prompt or interaction, forward it to processing
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// some user input remains from prompt or interaction, forward it to processing
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while ((int) embd_inp.size() > input_consumed) {
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while ((int) embd_inp.size() > n_consumed) {
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embd.push_back(embd_inp[input_consumed]);
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embd.push_back(embd_inp[n_consumed]);
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.push_back(embd_inp[input_consumed]);
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last_n_tokens.push_back(embd_inp[n_consumed]);
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++input_consumed;
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++n_consumed;
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if ((int) embd.size() >= params.n_batch) {
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if ((int) embd.size() >= params.n_batch) {
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break;
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break;
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}
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}
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@ -343,13 +389,13 @@ int main(int argc, char ** argv) {
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fflush(stdout);
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fflush(stdout);
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}
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}
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// reset color to default if we there is no pending user input
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// reset color to default if we there is no pending user input
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if (!input_noecho && (int)embd_inp.size() == input_consumed) {
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if (!input_noecho && (int)embd_inp.size() == n_consumed) {
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set_console_state(CONSOLE_STATE_DEFAULT);
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set_console_state(CONSOLE_STATE_DEFAULT);
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}
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}
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// in interactive mode, and not currently processing queued inputs;
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// in interactive mode, and not currently processing queued inputs;
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// check if we should prompt the user for more
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// check if we should prompt the user for more
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if (params.interactive && (int) embd_inp.size() <= input_consumed) {
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if (params.interactive && (int) embd_inp.size() <= n_consumed) {
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// check for reverse prompt
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// check for reverse prompt
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std::string last_output;
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std::string last_output;
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for (auto id : last_n_tokens) {
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for (auto id : last_n_tokens) {
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@ -371,7 +417,7 @@ int main(int argc, char ** argv) {
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set_console_state(CONSOLE_STATE_USER_INPUT);
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set_console_state(CONSOLE_STATE_USER_INPUT);
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if (params.instruct) {
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if (params.instruct) {
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input_consumed = embd_inp.size();
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n_consumed = embd_inp.size();
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embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
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embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
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printf("\n> ");
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printf("\n> ");
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@ -405,7 +451,7 @@ int main(int argc, char ** argv) {
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|||||||
embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
|
embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
|
||||||
}
|
}
|
||||||
|
|
||||||
remaining_tokens -= line_inp.size();
|
n_remain -= line_inp.size();
|
||||||
|
|
||||||
input_noecho = true; // do not echo this again
|
input_noecho = true; // do not echo this again
|
||||||
}
|
}
|
||||||
@ -426,8 +472,8 @@ int main(int argc, char ** argv) {
|
|||||||
}
|
}
|
||||||
|
|
||||||
// In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
|
// In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
|
||||||
if (params.interactive && remaining_tokens <= 0) {
|
if (params.interactive && n_remain <= 0) {
|
||||||
remaining_tokens = params.n_predict;
|
n_remain = params.n_predict;
|
||||||
is_interacting = true;
|
is_interacting = true;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
Loading…
Reference in New Issue
Block a user