diff options
author | firecoperana <xuqiaowei1124@gmail.com> | 2025-06-19 02:24:53 -0500 |
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committer | GitHub <noreply@github.com> | 2025-06-19 10:24:53 +0300 |
commit | 3f111ad7bbb2d4f721332f9b2b344e48b3bbf9aa (patch) | |
tree | a3a17ee74e0436253e17f0d322320ed554d34b0a /examples/server/server.cpp | |
parent | c5368148cf3af7a3694e0eb03d24a08326c01d12 (diff) |
add dry sampler (#513)
* add dry sampler
* use vocab instead of model in dry_init function
* fix compile error for build test
---------
Co-authored-by: firecoperana <firecoperana>
Diffstat (limited to 'examples/server/server.cpp')
-rw-r--r-- | examples/server/server.cpp | 54 |
1 files changed, 53 insertions, 1 deletions
diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 31f7383e..563570ad 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -977,6 +977,10 @@ struct server_context { slot.sparams.penalty_repeat = json_value(data, "repeat_penalty", default_sparams.penalty_repeat); slot.sparams.penalty_freq = json_value(data, "frequency_penalty", default_sparams.penalty_freq); slot.sparams.penalty_present = json_value(data, "presence_penalty", default_sparams.penalty_present); + slot.sparams.dry_multiplier = json_value(data, "dry_multiplier", default_sparams.dry_multiplier); + slot.sparams.dry_base = json_value(data, "dry_base", default_sparams.dry_base); + slot.sparams.dry_allowed_length = json_value(data, "dry_allowed_length", default_sparams.dry_allowed_length); + slot.sparams.dry_penalty_last_n = json_value(data, "dry_penalty_last_n", default_sparams.dry_penalty_last_n); slot.sparams.mirostat = json_value(data, "mirostat", default_sparams.mirostat); slot.sparams.mirostat_tau = json_value(data, "mirostat_tau", default_sparams.mirostat_tau); slot.sparams.mirostat_eta = json_value(data, "mirostat_eta", default_sparams.mirostat_eta); @@ -987,6 +991,42 @@ struct server_context { slot.sparams.n_probs = json_value(data, "n_probs", default_sparams.n_probs); slot.sparams.min_keep = json_value(data, "min_keep", default_sparams.min_keep); + if (slot.sparams.penalty_last_n < -1) { + throw std::runtime_error("Error: repeat_last_n must be >= -1"); + } + + if (slot.sparams.dry_penalty_last_n < -1) { + throw std::runtime_error("Error: dry_penalty_last_n must be >= -1"); + } + + if (slot.sparams.penalty_last_n == -1) { + // note: should be the slot's context and not the full context, but it's ok + slot.sparams.penalty_last_n = llama_n_ctx(ctx); + } + + if (slot.sparams.dry_penalty_last_n == -1) { + slot.sparams.dry_penalty_last_n = llama_n_ctx(ctx); + + } + if (slot.sparams.dry_base < 1.0f) + { + slot.sparams.dry_base = default_sparams.dry_base; + } + + // sequence breakers for DRY + { + // Currently, this is not compatible with TextGen WebUI, Koboldcpp and SillyTavern format + // Ref: https://github.com/oobabooga/text-generation-webui/blob/d1af7a41ade7bd3c3a463bfa640725edb818ebaf/extensions/openai/typing.py#L39 + + if (data.contains("dry_sequence_breakers")) { + slot.sparams.dry_sequence_breakers = json_value(data, "dry_sequence_breakers", std::vector<std::string>()); + if (slot.sparams.dry_sequence_breakers.empty()) { + send_error(task, "Error: dry_sequence_breakers must be a non-empty array of strings", ERROR_TYPE_INVALID_REQUEST); + return false; + } + } + } + // process "json_schema" and "grammar" if (data.contains("json_schema") && !data.at("json_schema").is_null() && data.contains("grammar") && !data.at("grammar").is_null()) { send_error(task, "Either \"json_schema\" or \"grammar\" can be specified, but not both", ERROR_TYPE_INVALID_REQUEST); @@ -1156,7 +1196,7 @@ struct server_context { if (slot.ctx_sampling != nullptr) { llama_sampling_free(slot.ctx_sampling); } - slot.ctx_sampling = llama_sampling_init(slot.sparams); + slot.ctx_sampling = llama_sampling_init(llama_get_model_vocab(model),slot.sparams); if (slot.ctx_sampling == nullptr) { // for now, the only error that may happen here is invalid grammar send_error(task, "Failed to parse grammar", ERROR_TYPE_INVALID_REQUEST); @@ -1405,6 +1445,11 @@ struct server_context { {"frequency_penalty", slot.sparams.penalty_freq}, {"penalty_prompt_tokens", slot.sparams.penalty_prompt_tokens}, {"use_penalty_prompt_tokens", slot.sparams.use_penalty_prompt_tokens}, + {"dry_multiplier", slot.sparams.dry_multiplier}, + {"dry_base", slot.sparams.dry_base}, + {"dry_allowed_length", slot.sparams.dry_allowed_length}, + {"dry_penalty_last_n", slot.sparams.dry_penalty_last_n}, + {"dry_sequence_breakers", slot.sparams.dry_sequence_breakers}, {"mirostat", slot.sparams.mirostat}, {"mirostat_tau", slot.sparams.mirostat_tau}, {"mirostat_eta", slot.sparams.mirostat_eta}, @@ -2337,6 +2382,13 @@ struct server_context { slot.command = SLOT_COMMAND_NONE; GGML_ASSERT(batch.n_tokens > 0); + llama_sampling_reset(slot.ctx_sampling); + for (int i = 0; i < slot.n_prompt_tokens; ++i) { + llama_token id = slot.prompt_tokens[i]; + if (id != LLAMA_TOKEN_NULL) { + llama_sampling_accept(slot.ctx_sampling, ctx, id, false); + } + } // extract the logits only for the last token batch.logits[batch.n_tokens - 1] = true; |