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Add SPM infill support (#8016)
* add --spm-infill option * support --spm-infill * support --spm-infill
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@ -1026,6 +1026,10 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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params.input_suffix = argv[i];
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params.input_suffix = argv[i];
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return true;
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return true;
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}
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}
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if (arg == "--spm-infill") {
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params.spm_infill = true;
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return true;
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}
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if (arg == "--grammar") {
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if (arg == "--grammar") {
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CHECK_ARG
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CHECK_ARG
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sparams.grammar = argv[i];
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sparams.grammar = argv[i];
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@ -1409,6 +1413,8 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
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options.push_back({ "main infill", " --in-prefix-bos", "prefix BOS to user inputs, preceding the `--in-prefix` string" });
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options.push_back({ "main infill", " --in-prefix-bos", "prefix BOS to user inputs, preceding the `--in-prefix` string" });
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options.push_back({ "main infill", " --in-prefix STRING", "string to prefix user inputs with (default: empty)" });
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options.push_back({ "main infill", " --in-prefix STRING", "string to prefix user inputs with (default: empty)" });
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options.push_back({ "main infill", " --in-suffix STRING", "string to suffix after user inputs with (default: empty)" });
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options.push_back({ "main infill", " --in-suffix STRING", "string to suffix after user inputs with (default: empty)" });
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options.push_back({ "server infill",
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" --spm-infill", "use Suffix/Prefix/Middle pattern for infill (instead of Prefix/Suffix/Middle) as some models prefer this. (default: %s)", params.spm_infill ? "enabled" : "disabled" });
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options.push_back({ "sampling" });
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options.push_back({ "sampling" });
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options.push_back({ "*", " --samplers SAMPLERS", "samplers that will be used for generation in the order, separated by \';\'\n"
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options.push_back({ "*", " --samplers SAMPLERS", "samplers that will be used for generation in the order, separated by \';\'\n"
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@ -250,6 +250,8 @@ struct gpt_params {
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std::string cvector_outfile = "control_vector.gguf";
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std::string cvector_outfile = "control_vector.gguf";
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std::string cvector_positive_file = "examples/cvector-generator/positive.txt";
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std::string cvector_positive_file = "examples/cvector-generator/positive.txt";
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std::string cvector_negative_file = "examples/cvector-generator/negative.txt";
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std::string cvector_negative_file = "examples/cvector-generator/negative.txt";
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bool spm_infill = false; // suffix/prefix/middle pattern for infill
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};
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};
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void gpt_params_handle_model_default(gpt_params & params);
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void gpt_params_handle_model_default(gpt_params & params);
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@ -15,6 +15,7 @@ In this section, we cover the most commonly used options for running the `infill
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- `-i, --interactive`: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses.
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- `-i, --interactive`: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses.
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- `-n N, --n-predict N`: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text.
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- `-n N, --n-predict N`: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text.
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- `-c N, --ctx-size N`: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference.
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- `-c N, --ctx-size N`: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference.
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- `--spm-infill`: Use Suffix/Prefix/Middle pattern for infill (instead of Prefix/Suffix/Middle) as some models prefer this.
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## Input Prompts
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## Input Prompts
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@ -210,6 +210,7 @@ int main(int argc, char ** argv) {
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suff_rm_leading_spc = false;
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suff_rm_leading_spc = false;
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}
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}
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std::vector<llama_token> embd_inp;
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std::vector<llama_token> embd_inp;
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std::vector<llama_token> embd_end;
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std::vector<llama_token> inp_pfx = ::llama_tokenize(ctx, params.input_prefix, false);
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std::vector<llama_token> inp_pfx = ::llama_tokenize(ctx, params.input_prefix, false);
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std::vector<llama_token> inp_sfx = ::llama_tokenize(ctx, params.input_suffix, false);
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std::vector<llama_token> inp_sfx = ::llama_tokenize(ctx, params.input_suffix, false);
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const int space_token = 29871;
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const int space_token = 29871;
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@ -217,12 +218,13 @@ int main(int argc, char ** argv) {
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inp_sfx.erase(inp_sfx.begin());
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inp_sfx.erase(inp_sfx.begin());
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}
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}
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inp_pfx.insert(inp_pfx.begin(), llama_token_prefix(model));
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inp_pfx.insert(inp_pfx.begin(), llama_token_prefix(model));
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if (add_bos) {
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inp_pfx.insert(inp_pfx.begin(), llama_token_bos(model));
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}
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inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model));
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inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model));
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embd_inp = inp_pfx;
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embd_inp = params.spm_infill ? inp_sfx : inp_pfx;
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embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
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embd_end = params.spm_infill ? inp_pfx : inp_sfx;
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if (add_bos) {
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embd_inp.insert(embd_inp.begin(), llama_token_bos(model));
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}
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embd_inp.insert(embd_inp.end(), embd_end.begin(), embd_end.end());
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const llama_token middle_token = llama_token_middle(model);
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const llama_token middle_token = llama_token_middle(model);
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if (middle_token >= 0) {
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if (middle_token >= 0) {
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@ -526,14 +528,14 @@ int main(int argc, char ** argv) {
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inp_sfx.erase(inp_sfx.begin());
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inp_sfx.erase(inp_sfx.begin());
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}
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}
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inp_pfx.insert(inp_pfx.begin(), llama_token_prefix(model));
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inp_pfx.insert(inp_pfx.begin(), llama_token_prefix(model));
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if (add_bos) {
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inp_pfx.insert(inp_pfx.begin(), llama_token_bos(model));
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}
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inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model));
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inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model));
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embd_inp = inp_pfx;
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embd_inp = params.spm_infill ? inp_sfx : inp_pfx;
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embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
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embd_end = params.spm_infill ? inp_pfx : inp_sfx;
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if (add_bos) {
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embd_inp.insert(embd_inp.begin(), llama_token_bos(model));
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}
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embd_inp.insert(embd_inp.end(), embd_end.begin(), embd_end.end());
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const llama_token middle_token = llama_token_middle(model);
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if (middle_token >= 0) {
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if (middle_token >= 0) {
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embd_inp.push_back(middle_token);
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embd_inp.push_back(middle_token);
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}
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}
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@ -73,6 +73,7 @@ The project is under active development, and we are [looking for feedback and co
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- `-fa`, `--flash-attn` : enable flash attention (default: disabled).
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- `-fa`, `--flash-attn` : enable flash attention (default: disabled).
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- `-ctk TYPE`, `--cache-type-k TYPE` : KV cache data type for K (default: `f16`, options `f32`, `f16`, `q8_0`, `q4_0`, `q4_1`, `iq4_nl`, `q5_0`, or `q5_1`)
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- `-ctk TYPE`, `--cache-type-k TYPE` : KV cache data type for K (default: `f16`, options `f32`, `f16`, `q8_0`, `q4_0`, `q4_1`, `iq4_nl`, `q5_0`, or `q5_1`)
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- `-ctv TYPE`, `--cache-type-v TYPE` : KV cache type for V (default `f16`, see `-ctk` for options)
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- `-ctv TYPE`, `--cache-type-v TYPE` : KV cache type for V (default `f16`, see `-ctk` for options)
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- `--spm-infill` : Use Suffix/Prefix/Middle pattern for infill (instead of Prefix/Suffix/Middle) as some models prefer this.
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**If compiled with `LLAMA_SERVER_SSL=ON`**
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**If compiled with `LLAMA_SERVER_SSL=ON`**
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- `--ssl-key-file FNAME`: path to file a PEM-encoded SSL private key
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- `--ssl-key-file FNAME`: path to file a PEM-encoded SSL private key
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@ -2020,6 +2020,7 @@ struct server_context {
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slot.t_start_generation = 0;
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slot.t_start_generation = 0;
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if (slot.infill) {
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if (slot.infill) {
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const bool add_bos = llama_should_add_bos_token(model);
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bool suff_rm_leading_spc = true;
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bool suff_rm_leading_spc = true;
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if (params.input_suffix.find_first_of(' ') == 0 && params.input_suffix.size() > 1) {
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if (params.input_suffix.find_first_of(' ') == 0 && params.input_suffix.size() > 1) {
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params.input_suffix.erase(0, 1);
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params.input_suffix.erase(0, 1);
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@ -2035,16 +2036,21 @@ struct server_context {
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}
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}
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prefix_tokens.insert(prefix_tokens.begin(), llama_token_prefix(model));
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prefix_tokens.insert(prefix_tokens.begin(), llama_token_prefix(model));
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prefix_tokens.insert(prefix_tokens.begin(), llama_token_bos(model)); // always add BOS
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suffix_tokens.insert(suffix_tokens.begin(), llama_token_suffix(model));
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prefix_tokens.insert(prefix_tokens.end(), llama_token_suffix(model));
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prefix_tokens.insert(prefix_tokens.end(), suffix_tokens.begin(), suffix_tokens.end());
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auto embd_inp = params.spm_infill ? suffix_tokens : prefix_tokens;
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auto embd_end = params.spm_infill ? prefix_tokens : suffix_tokens;
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if (add_bos) {
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embd_inp.insert(embd_inp.begin(), llama_token_bos(model));
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}
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embd_inp.insert(embd_inp.end(), embd_end.begin(), embd_end.end());
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const llama_token middle_token = llama_token_middle(model);
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const llama_token middle_token = llama_token_middle(model);
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if (middle_token >= 0) {
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if (middle_token >= 0) {
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prefix_tokens.push_back(middle_token);
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embd_inp.push_back(middle_token);
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}
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}
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prompt_tokens = prefix_tokens;
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prompt_tokens = embd_inp;
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} else {
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} else {
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prompt_tokens = tokenize(slot.prompt, system_prompt.empty()); // add BOS if there isn't system prompt
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prompt_tokens = tokenize(slot.prompt, system_prompt.empty()); // add BOS if there isn't system prompt
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}
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}
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