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Merge branch 'upstream' into concedo_experimental
# Conflicts: # common/sampling.h # llama.h # tests/test-chat-template.cpp
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+5
-3
@@ -243,7 +243,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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invalid_param = true;
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return true;
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}
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// This is temporary, in the future the samplign state will be moved fully to llama_sampling_context.
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params.seed = std::stoul(argv[i]);
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sparams.seed = std::stoul(argv[i]);
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return true;
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}
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if (arg == "-t" || arg == "--threads") {
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@@ -2327,12 +2329,12 @@ std::vector<llama_token> llama_tokenize(
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return result;
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}
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std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token) {
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std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token, bool special) {
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std::vector<char> result(8, 0);
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const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), true);
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const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
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if (n_tokens < 0) {
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result.resize(-n_tokens);
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int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), true);
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int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
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GGML_ASSERT(check == -n_tokens);
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} else {
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result.resize(n_tokens);
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