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Merge branch 'upstream' into concedo_experimental

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# Conflicts:
#	.devops/llama-server.Dockerfile
#	README.md
#	flake.lock
#	ggml/src/ggml-vulkan.cpp
#	ggml/src/vulkan-shaders/concat.comp
#	ggml/src/vulkan-shaders/pad.comp
#	ggml/src/vulkan-shaders/vulkan-shaders-gen.cpp
#	scripts/sync-ggml-am.sh
#	scripts/sync-ggml.last
#	src/llama.cpp
#	tests/test-backend-ops.cpp
This commit is contained in:
Concedo
2024-08-06 16:33:26 +08:00
parent 6b8b50b350 2d5dd7bb3f
commit e1f97f7fb5
55 changed files with 112612 additions and 111077 deletions
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examples/server/server.cpp
+5 -2
View File
@@ -678,7 +678,10 @@ struct server_context {
// dedicate one sequence to the system prompt
params.n_parallel += 1;
std::tie(model, ctx) = llama_init_from_gpt_params(params);
llama_init_result llama_init = llama_init_from_gpt_params(params);
model = llama_init.model;
ctx = llama_init.context;
params.n_parallel -= 1; // but be sneaky about it
if (model == nullptr) {
LOG_ERROR("unable to load model", {{"model", params.model}});
@@ -901,7 +904,7 @@ struct server_context {
slot.params.stream = json_value(data, "stream", false);
slot.params.cache_prompt = json_value(data, "cache_prompt", false);
slot.params.n_predict = json_value(data, "n_predict", default_params.n_predict);
slot.params.n_predict = json_value(data, "n_predict", json_value(data, "max_tokens", default_params.n_predict));
slot.sparams.top_k = json_value(data, "top_k", default_sparams.top_k);
slot.sparams.top_p = json_value(data, "top_p", default_sparams.top_p);
slot.sparams.min_p = json_value(data, "min_p", default_sparams.min_p);
examples/server/utils.hpp
-18
View File
@@ -355,24 +355,6 @@ static json oaicompat_completion_params_parse(
llama_params["__oaicompat"] = true;
// Map OpenAI parameters to llama.cpp parameters
//
// For parameters that are defined by the OpenAI documentation (e.g.
// temperature), we explicitly specify OpenAI's intended default; we
// need to do that because sometimes OpenAI disagrees with llama.cpp
//
// https://platform.openai.com/docs/api-reference/chat/create
llama_sampling_params default_sparams;
llama_params["model"] = json_value(body, "model", std::string("unknown"));
llama_params["frequency_penalty"] = json_value(body, "frequency_penalty", 0.0);
llama_params["logit_bias"] = json_value(body, "logit_bias", json::object());
llama_params["n_predict"] = json_value(body, "max_tokens", -1);
llama_params["presence_penalty"] = json_value(body, "presence_penalty", 0.0);
llama_params["seed"] = json_value(body, "seed", LLAMA_DEFAULT_SEED);
llama_params["stream"] = json_value(body, "stream", false);
llama_params["temperature"] = json_value(body, "temperature", 1.0);
llama_params["top_p"] = json_value(body, "top_p", 1.0);
// Apply chat template to the list of messages
llama_params["prompt"] = format_chat(model, chat_template, body.at("messages"));