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common : revert showing control tokens by default for server (#6860)
* fix: revert showing control tokens by default * feat: revert changes to default behavior of llama_token_to_piece; provide overridden declaration to receive "bool special" param to toggle showing control tokens * feat: use the overridden declaration of llama_token_to_piece from common/common.cpp to specify "false" so that control tokens are not shown in chat completion responses" * common : simplify --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -2328,12 +2328,12 @@ 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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@ -237,11 +237,12 @@ std::vector<llama_token> llama_tokenize(
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bool add_special,
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bool parse_special = false);
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// tokenizes a token into a piece
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// tokenizes a token into a piece, optionally renders special/control tokens
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// should work similar to Python's `tokenizer.id_to_piece`
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std::string llama_token_to_piece(
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const struct llama_context * ctx,
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llama_token token);
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llama_token token,
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bool special = true);
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// TODO: these should be moved in llama.h C-style API under single `llama_detokenize` function
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// that takes into account the tokenizer type and decides how to handle the leading space
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@ -1117,7 +1117,7 @@ struct server_context {
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bool process_token(completion_token_output & result, server_slot & slot) {
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// remember which tokens were sampled - used for repetition penalties during sampling
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const std::string token_str = llama_token_to_piece(ctx, result.tok);
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const std::string token_str = llama_token_to_piece(ctx, result.tok, false);
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slot.sampled = result.tok;
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// search stop word and delete it
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