mirror of
https://github.com/LostRuins/koboldcpp.git
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Merge branch 'upstream' into concedo_experimental
# Conflicts: # common/common.cpp # examples/batched-bench/batched-bench.cpp # examples/batched/batched.cpp # examples/export-lora/export-lora.cpp # examples/gritlm/gritlm.cpp # examples/parallel/parallel.cpp # examples/passkey/passkey.cpp # examples/speculative-simple/speculative-simple.cpp # examples/speculative/speculative.cpp # ggml/src/ggml-cann/CMakeLists.txt # ggml/src/ggml-cann/acl_tensor.cpp # ggml/src/ggml-cann/acl_tensor.h # ggml/src/ggml-cann/aclnn_ops.cpp # ggml/src/ggml-cann/aclnn_ops.h # ggml/src/ggml-vulkan/CMakeLists.txt # tests/test-arg-parser.cpp # tests/test-backend-ops.cpp
This commit is contained in:
+14
-16
@@ -133,7 +133,8 @@ struct slot_params {
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auto grammar_triggers = json::array();
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for (const auto & trigger : sampling.grammar_triggers) {
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grammar_triggers.push_back(trigger.to_json<json>());
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server_grammar_trigger ct(std::move(trigger));
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grammar_triggers.push_back(ct.to_json());
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}
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return json {
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@@ -372,9 +373,9 @@ struct server_task {
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const auto grammar_triggers = data.find("grammar_triggers");
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if (grammar_triggers != data.end()) {
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for (const auto & t : *grammar_triggers) {
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auto ct = common_grammar_trigger::from_json(t);
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if (ct.type == COMMON_GRAMMAR_TRIGGER_TYPE_WORD) {
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const auto & word = ct.value;
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server_grammar_trigger ct(t);
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if (ct.value.type == COMMON_GRAMMAR_TRIGGER_TYPE_WORD) {
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const auto & word = ct.value.value;
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auto ids = common_tokenize(vocab, word, /* add_special= */ false, /* parse_special= */ true);
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if (ids.size() == 1) {
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auto token = ids[0];
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@@ -392,7 +393,7 @@ struct server_task {
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params.sampling.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, word});
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}
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} else {
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params.sampling.grammar_triggers.push_back(ct);
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params.sampling.grammar_triggers.push_back(std::move(ct.value));
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}
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}
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}
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@@ -1876,7 +1877,7 @@ struct server_context {
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}
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bool load_model(const common_params & params) {
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SRV_INF("loading model '%s'\n", params.model.c_str());
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SRV_INF("loading model '%s'\n", params.model.path.c_str());
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params_base = params;
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@@ -1886,7 +1887,7 @@ struct server_context {
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ctx = llama_init.context.get();
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if (model == nullptr) {
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SRV_ERR("failed to load model, '%s'\n", params_base.model.c_str());
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SRV_ERR("failed to load model, '%s'\n", params_base.model.path.c_str());
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return false;
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}
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@@ -1897,16 +1898,13 @@ struct server_context {
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add_bos_token = llama_vocab_get_add_bos(vocab);
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has_eos_token = llama_vocab_eos(vocab) != LLAMA_TOKEN_NULL;
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if (!params_base.speculative.model.empty() || !params_base.speculative.hf_repo.empty()) {
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SRV_INF("loading draft model '%s'\n", params_base.speculative.model.c_str());
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if (!params_base.speculative.model.path.empty() || !params_base.speculative.model.hf_repo.empty()) {
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SRV_INF("loading draft model '%s'\n", params_base.speculative.model.path.c_str());
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auto params_dft = params_base;
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params_dft.devices = params_base.speculative.devices;
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params_dft.hf_file = params_base.speculative.hf_file;
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params_dft.hf_repo = params_base.speculative.hf_repo;
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params_dft.model = params_base.speculative.model;
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params_dft.model_url = params_base.speculative.model_url;
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params_dft.n_ctx = params_base.speculative.n_ctx == 0 ? params_base.n_ctx / params_base.n_parallel : params_base.speculative.n_ctx;
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params_dft.n_gpu_layers = params_base.speculative.n_gpu_layers;
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params_dft.n_parallel = 1;
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@@ -1920,12 +1918,12 @@ struct server_context {
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model_dft = llama_init_dft.model.get();
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if (model_dft == nullptr) {
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SRV_ERR("failed to load draft model, '%s'\n", params_base.speculative.model.c_str());
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SRV_ERR("failed to load draft model, '%s'\n", params_base.speculative.model.path.c_str());
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return false;
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}
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if (!common_speculative_are_compatible(ctx, llama_init_dft.context.get())) {
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SRV_ERR("the draft model '%s' is not compatible with the target model '%s'\n", params_base.speculative.model.c_str(), params_base.model.c_str());
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SRV_ERR("the draft model '%s' is not compatible with the target model '%s'\n", params_base.speculative.model.path.c_str(), params_base.model.path.c_str());
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return false;
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}
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@@ -3865,7 +3863,7 @@ int main(int argc, char ** argv) {
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json data = {
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{ "default_generation_settings", ctx_server.default_generation_settings_for_props },
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{ "total_slots", ctx_server.params_base.n_parallel },
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{ "model_path", ctx_server.params_base.model },
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{ "model_path", ctx_server.params_base.model.path },
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{ "chat_template", common_chat_templates_source(ctx_server.chat_templates.get()) },
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{ "bos_token", common_token_to_piece(ctx_server.ctx, llama_vocab_bos(ctx_server.vocab), /* special= */ true)},
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{ "eos_token", common_token_to_piece(ctx_server.ctx, llama_vocab_eos(ctx_server.vocab), /* special= */ true)},
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@@ -4131,7 +4129,7 @@ int main(int argc, char ** argv) {
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{"object", "list"},
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{"data", {
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{
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{"id", params.model_alias.empty() ? params.model : params.model_alias},
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{"id", params.model_alias.empty() ? params.model.path : params.model_alias},
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{"object", "model"},
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{"created", std::time(0)},
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{"owned_by", "llamacpp"},
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@@ -58,6 +58,32 @@ static T json_value(const json & body, const std::string & key, const T & defaul
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const static std::string build_info("b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT);
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// thin wrapper around common_grammar_trigger with (de)serialization functions
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struct server_grammar_trigger {
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common_grammar_trigger value;
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server_grammar_trigger() = default;
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server_grammar_trigger(const common_grammar_trigger & value) : value(value) {}
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server_grammar_trigger(const json & in) {
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value.type = (common_grammar_trigger_type) in.at("type").get<int>();
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value.value = in.at("value").get<std::string>();
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if (value.type == COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN) {
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value.token = (llama_token) in.at("token").get<int>();
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}
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}
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json to_json() const {
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json out {
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{"type", (int) value.type},
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{"value", value.value},
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};
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if (value.type == COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN) {
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out["token"] = (int) value.token;
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}
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return out;
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}
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};
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//
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// tokenizer and input processing utils
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//
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@@ -627,7 +653,8 @@ static json oaicompat_completion_params_parse(
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llama_params["grammar_lazy"] = chat_params.grammar_lazy;
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auto grammar_triggers = json::array();
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for (const auto & trigger : chat_params.grammar_triggers) {
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grammar_triggers.push_back(trigger.to_json<json>());
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server_grammar_trigger ct(trigger);
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grammar_triggers.push_back(ct.to_json());
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}
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llama_params["grammar_triggers"] = grammar_triggers;
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llama_params["preserved_tokens"] = chat_params.preserved_tokens;
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