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Fix: Revert showing control tokens by default for server OpenAI Chat completions #6860

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6 changes: 3 additions & 3 deletions common/common.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -2326,12 +2326,12 @@ std::vector<llama_token> llama_tokenize(
return result;
}

std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token) {
std::string llama_token_to_piece(const struct llama_context * ctx, llama_token token, bool special) {
std::vector<char> result(8, 0);
const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), true);
const int n_tokens = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
if (n_tokens < 0) {
result.resize(-n_tokens);
int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), true);
int check = llama_token_to_piece(llama_get_model(ctx), token, result.data(), result.size(), special);
GGML_ASSERT(check == -n_tokens);
} else {
result.resize(n_tokens);
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5 changes: 3 additions & 2 deletions common/common.h
Original file line number Diff line number Diff line change
Expand Up @@ -237,11 +237,12 @@ std::vector<llama_token> llama_tokenize(
bool add_special,
bool parse_special = false);

// tokenizes a token into a piece
// tokenizes a token into a piece, optionally renders special/control tokens
// should work similar to Python's `tokenizer.id_to_piece`
std::string llama_token_to_piece(
const struct llama_context * ctx,
llama_token token);
llama_token token,
bool special = true);

// TODO: these should be moved in llama.h C-style API under single `llama_detokenize` function
// that takes into account the tokenizer type and decides how to handle the leading space
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2 changes: 1 addition & 1 deletion examples/server/server.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -1118,7 +1118,7 @@ struct server_context {

bool process_token(completion_token_output & result, server_slot & slot) {
// remember which tokens were sampled - used for repetition penalties during sampling
const std::string token_str = llama_token_to_piece(ctx, result.tok);
const std::string token_str = llama_token_to_piece(ctx, result.tok, false);
slot.sampled = result.tok;

// search stop word and delete it
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