Merge branch 'master' into concedo_experimental

# Conflicts:
#	.devops/nix/package.nix
#	CMakeLists.txt
#	README.md
#	ggml-metal.m
#	ggml.c
This commit is contained in:
Concedo
2024-01-08 14:18:49 +08:00
18 changed files with 195 additions and 191 deletions
+61
View File
@@ -0,0 +1,61 @@
#!/bin/bash
#
# Few-shot translation example.
# Requires a base model (i.e. no fine-tuned or instruct models).
#
# Usage:
#
# cd llama.cpp
# make -j
#
# ./examples/base-translate.sh <model-base> "<text>" [extra-main-args]
#
if [ $# -lt 2 ]; then
echo "Usage: ./base-translate.sh <model-base> \"<text>\" [extra-main-args]"
exit 1
fi
eargs=""
if [ $# -gt 2 ]; then
eargs="${@:3}"
fi
ftmp="__llama.cpp_example_tmp__.txt"
trap "rm -f $ftmp" EXIT
echo "Translate from English to French:
===
sea otter, peppermint, plush girafe:
sea otter => loutre de mer
peppermint => menthe poivrée
plush girafe => girafe peluche
===
violin
violin => violon
===
phone, computer, mouse, keyboard:
phone => téléphone
computer => ordinateur
mouse => souris
keyboard => clavier
===
" > $ftmp
echo "$2
" >> $ftmp
model=$1
# generate the most likely continuation until the string "===" is found
./main -m $model -f $ftmp -n 64 --temp 0 --repeat-penalty 1.0 --no-penalize-nl -r "===" $eargs
+31 -3
View File
@@ -139,6 +139,7 @@ struct cmd_params {
std::vector<int> n_threads;
std::vector<int> n_gpu_layers;
std::vector<int> main_gpu;
std::vector<bool> no_kv_offload;
std::vector<bool> mul_mat_q;
std::vector<std::array<float, LLAMA_MAX_DEVICES>> tensor_split;
int reps;
@@ -156,6 +157,7 @@ static const cmd_params cmd_params_defaults = {
/* n_threads */ {get_num_physical_cores()},
/* n_gpu_layers */ {99},
/* main_gpu */ {0},
/* no_kv_offload */ {false},
/* mul_mat_q */ {true},
/* tensor_split */ {{}},
/* reps */ 5,
@@ -177,6 +179,7 @@ static void print_usage(int /* argc */, char ** argv) {
printf(" -t, --threads <n> (default: %s)\n", join(cmd_params_defaults.n_threads, ",").c_str());
printf(" -ngl, --n-gpu-layers <n> (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str());
printf(" -mg, --main-gpu <i> (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str());
printf(" -nkvo, --no-kv-offload <0|1> (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str());
printf(" -mmq, --mul-mat-q <0|1> (default: %s)\n", join(cmd_params_defaults.mul_mat_q, ",").c_str());
printf(" -ts, --tensor_split <ts0/ts1/..> \n");
printf(" -r, --repetitions <n> (default: %d)\n", cmd_params_defaults.reps);
@@ -310,6 +313,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
break;
}
params.main_gpu = split<int>(argv[i], split_delim);
} else if (arg == "-nkvo" || arg == "--no-kv-offload") {
if (++i >= argc) {
invalid_param = true;
break;
}
auto p = split<bool>(argv[i], split_delim);
params.no_kv_offload.insert(params.no_kv_offload.end(), p.begin(), p.end());
} else if (arg == "-mmq" || arg == "--mul-mat-q") {
if (++i >= argc) {
invalid_param = true;
@@ -384,6 +394,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
if (params.type_v.empty()) { params.type_v = cmd_params_defaults.type_v; }
if (params.n_gpu_layers.empty()) { params.n_gpu_layers = cmd_params_defaults.n_gpu_layers; }
if (params.main_gpu.empty()) { params.main_gpu = cmd_params_defaults.main_gpu; }
if (params.no_kv_offload.empty()){ params.no_kv_offload = cmd_params_defaults.no_kv_offload; }
if (params.mul_mat_q.empty()) { params.mul_mat_q = cmd_params_defaults.mul_mat_q; }
if (params.tensor_split.empty()) { params.tensor_split = cmd_params_defaults.tensor_split; }
if (params.n_threads.empty()) { params.n_threads = cmd_params_defaults.n_threads; }
@@ -401,6 +412,7 @@ struct cmd_params_instance {
int n_threads;
int n_gpu_layers;
int main_gpu;
bool no_kv_offload;
bool mul_mat_q;
std::array<float, LLAMA_MAX_DEVICES> tensor_split;
@@ -429,6 +441,7 @@ struct cmd_params_instance {
cparams.type_k = type_k;
cparams.type_v = type_v;
cparams.mul_mat_q = mul_mat_q;
cparams.offload_kqv = !no_kv_offload;
return cparams;
}
@@ -445,6 +458,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances_int(const cmd_p
for (const auto & tk : params.type_k)
for (const auto & tv : params.type_v)
for (const auto & mmq : params.mul_mat_q)
for (const auto & nkvo : params.no_kv_offload)
for (const auto & nt : params.n_threads) {
cmd_params_instance instance = {
/* .model = */ m,
@@ -456,6 +470,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances_int(const cmd_p
/* .n_threads = */ nt,
/* .n_gpu_layers = */ nl,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .mul_mat_q = */ mmq,
/* .tensor_split = */ ts,
};
@@ -477,6 +492,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
for (const auto & tk : params.type_k)
for (const auto & tv : params.type_v)
for (const auto & mmq : params.mul_mat_q)
for (const auto & nkvo : params.no_kv_offload)
for (const auto & nt : params.n_threads) {
for (const auto & n_prompt : params.n_prompt) {
if (n_prompt == 0) {
@@ -492,6 +508,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .n_threads = */ nt,
/* .n_gpu_layers = */ nl,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .mul_mat_q = */ mmq,
/* .tensor_split = */ ts,
};
@@ -512,6 +529,7 @@ static std::vector<cmd_params_instance> get_cmd_params_instances(const cmd_param
/* .n_threads = */ nt,
/* .n_gpu_layers = */ nl,
/* .main_gpu = */ mg,
/* .no_kv_offload= */ nkvo,
/* .mul_mat_q = */ mmq,
/* .tensor_split = */ ts,
};
@@ -560,6 +578,7 @@ struct test {
ggml_type type_v;
int n_gpu_layers;
int main_gpu;
bool no_kv_offload;
bool mul_mat_q;
std::array<float, LLAMA_MAX_DEVICES> tensor_split;
int n_prompt;
@@ -580,6 +599,7 @@ struct test {
type_v = inst.type_v;
n_gpu_layers = inst.n_gpu_layers;
main_gpu = inst.main_gpu;
no_kv_offload = inst.no_kv_offload;
mul_mat_q = inst.mul_mat_q;
tensor_split = inst.tensor_split;
n_prompt = inst.n_prompt;
@@ -641,7 +661,8 @@ struct test {
"cpu_info", "gpu_info",
"model_filename", "model_type", "model_size", "model_n_params",
"n_batch", "n_threads", "type_k", "type_v",
"n_gpu_layers", "main_gpu", "mul_mat_q", "tensor_split",
"n_gpu_layers", "main_gpu", "no_kv_offload",
"mul_mat_q", "tensor_split",
"n_prompt", "n_gen", "test_time",
"avg_ns", "stddev_ns",
"avg_ts", "stddev_ts"
@@ -660,7 +681,7 @@ struct test {
return INT;
}
if (field == "cuda" || field == "opencl" || field == "metal" || field == "gpu_blas" || field == "blas" ||
field == "f16_kv" || field == "mul_mat_q") {
field == "f16_kv" || field == "no_kv_offload" || field == "mul_mat_q") {
return BOOL;
}
if (field == "avg_ts" || field == "stddev_ts") {
@@ -691,7 +712,8 @@ struct test {
cpu_info, gpu_info,
model_filename, model_type, std::to_string(model_size), std::to_string(model_n_params),
std::to_string(n_batch), std::to_string(n_threads), ggml_type_name(type_k), ggml_type_name(type_v),
std::to_string(n_gpu_layers), std::to_string(main_gpu), std::to_string(mul_mat_q), tensor_split_str,
std::to_string(n_gpu_layers), std::to_string(main_gpu), std::to_string(no_kv_offload),
std::to_string(mul_mat_q), tensor_split_str,
std::to_string(n_prompt), std::to_string(n_gen), test_time,
std::to_string(avg_ns()), std::to_string(stdev_ns()),
std::to_string(avg_ts()), std::to_string(stdev_ts())
@@ -852,6 +874,9 @@ struct markdown_printer : public printer {
if (field == "mul_mat_q") {
return "mmq";
}
if (field == "no_kv_offload") {
return "nkvo";
}
if (field == "tensor_split") {
return "ts";
}
@@ -886,6 +911,9 @@ struct markdown_printer : public printer {
if (params.mul_mat_q.size() > 1 || params.mul_mat_q != cmd_params_defaults.mul_mat_q) {
fields.push_back("mul_mat_q");
}
if (params.no_kv_offload.size() > 1 || params.no_kv_offload != cmd_params_defaults.no_kv_offload) {
fields.push_back("no_kv_offload");
}
if (params.tensor_split.size() > 1 || params.tensor_split != cmd_params_defaults.tensor_split) {
fields.push_back("tensor_split");
}
@@ -1,8 +1,5 @@
import Foundation
// To use this in your own project, add llama.cpp as a swift package dependency
// and uncomment this import line.
// import llama
import llama
enum LlamaError: Error {
case couldNotInitializeContext
@@ -161,7 +158,7 @@ actor LlamaContext {
new_token_id = llama_sample_token_greedy(context, &candidates_p)
}
if new_token_id == llama_token_eos(context) || n_cur == n_len {
if new_token_id == llama_token_eos(model) || n_cur == n_len {
print("\n")
let new_token_str = String(cString: temporary_invalid_cchars + [0])
temporary_invalid_cchars.removeAll()
@@ -1,5 +0,0 @@
//
// Use this file to import your target's public headers that you would like to expose to Swift.
//
#import "llama.h"
@@ -7,68 +7,31 @@
objects = {
/* Begin PBXBuildFile section */
542376082B0D9BFB008E6A1C /* ggml-quants.c in Sources */ = {isa = PBXBuildFile; fileRef = 542376072B0D9BFB008E6A1C /* ggml-quants.c */; settings = {COMPILER_FLAGS = "-O3"; }; };
5423760B2B0D9C4B008E6A1C /* ggml-backend.c in Sources */ = {isa = PBXBuildFile; fileRef = 5423760A2B0D9C4B008E6A1C /* ggml-backend.c */; settings = {COMPILER_FLAGS = "-O3"; }; };
542EA09D2AC8723900A8AEE9 /* ggml.c in Sources */ = {isa = PBXBuildFile; fileRef = 542EA09B2AC8723900A8AEE9 /* ggml.c */; settings = {COMPILER_FLAGS = "-DGGML_USE_ACCELERATE -DGGML_USE_METAL -DGGML_USE_K_QUANTS -O3"; }; };
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549479CB2AC9E16000E0F78B /* Metal.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 549479CA2AC9E16000E0F78B /* Metal.framework */; };
549479CD2AC9E42A00E0F78B /* ggml-metal.m in Sources */ = {isa = PBXBuildFile; fileRef = 549479C52AC9E0F200E0F78B /* ggml-metal.m */; settings = {COMPILER_FLAGS = "-fno-objc-arc -DGGML_SWIFT -DGGML_USE_METAL -O3"; }; };
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8A1C837B2AC328BE0096AF73 /* Assets.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 8A1C837A2AC328BE0096AF73 /* Assets.xcassets */; };
8A1C837E2AC328BE0096AF73 /* Preview Assets.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 8A1C837D2AC328BE0096AF73 /* Preview Assets.xcassets */; };
8A39BE0A2AC7601100BFEB40 /* Accelerate.framework in Frameworks */ = {isa = PBXBuildFile; fileRef = 8A39BE092AC7601000BFEB40 /* Accelerate.framework */; };
8A3F84242AC4C891005E2EE8 /* models in Resources */ = {isa = PBXBuildFile; fileRef = 8A3F84232AC4C891005E2EE8 /* models */; };
8A907F332AC7138A006146EA /* LibLlama.swift in Sources */ = {isa = PBXBuildFile; fileRef = 8A907F322AC7134E006146EA /* LibLlama.swift */; };
8A9F7C4D2AC332EE008AE1EA /* LlamaState.swift in Sources */ = {isa = PBXBuildFile; fileRef = 8A9F7C4C2AC332EE008AE1EA /* LlamaState.swift */; };
DF810E132B4A5BA200301144 /* llama in Frameworks */ = {isa = PBXBuildFile; productRef = DF810E122B4A5BA200301144 /* llama */; };
F1FE20E22B465ECA00B45541 /* LoadCustomButton.swift in Sources */ = {isa = PBXBuildFile; fileRef = F1FE20E12B465EC900B45541 /* LoadCustomButton.swift */; };
F1FE20DC2B465C4500B45541 /* ggml-metal.metal in Resources */ = {isa = PBXBuildFile; fileRef = 549479C82AC9E10B00E0F78B /* ggml-metal.metal */; };
/* End PBXBuildFile section */
/* Begin PBXBuildRule section */
F1FE20DB2B465C2100B45541 /* PBXBuildRule */ = {
isa = PBXBuildRule;
compilerSpec = com.apple.compilers.proxy.script;
fileType = sourcecode.metal;
inputFiles = (
);
isEditable = 1;
outputFiles = (
"${DERIVED_FILES_DIR}/ggml-metal.air",
"${DERIVED_FILES_DIR}/ggml.metallib",
);
script = "# metal\nxcrun metal -c \"${INPUT_FILE_PATH}\" -o \"${DERIVED_FILES_DIR}/${INPUT_FILE_BASE}.air\"\nxcrun metallib -o \"${DERIVED_FILES_DIR}/${INPUT_FILE_BASE%-metal}.metallib\" \"${DERIVED_FILES_DIR}/${INPUT_FILE_BASE}.air\"\n";
};
/* End PBXBuildRule section */
/* Begin PBXFileReference section */
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542EA09C2AC8723900A8AEE9 /* ggml.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = ggml.h; path = ../../ggml.h; sourceTree = "<group>"; };
542EA09E2AC8725700A8AEE9 /* ggml-alloc.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-alloc.h"; path = "../../ggml-alloc.h"; sourceTree = "<group>"; };
542EA09F2AC8725700A8AEE9 /* ggml-alloc.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; name = "ggml-alloc.c"; path = "../../ggml-alloc.c"; sourceTree = "<group>"; };
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549479C62AC9E0F200E0F78B /* ggml-metal.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; name = "ggml-metal.h"; path = "../../ggml-metal.h"; sourceTree = "<group>"; };
549479C82AC9E10B00E0F78B /* ggml-metal.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; name = "ggml-metal.metal"; path = "../../ggml-metal.metal"; sourceTree = "<group>"; };
549479CA2AC9E16000E0F78B /* Metal.framework */ = {isa = PBXFileReference; lastKnownFileType = wrapper.framework; name = Metal.framework; path = System/Library/Frameworks/Metal.framework; sourceTree = SDKROOT; };
7FA3D2B22B2EA2F600543F92 /* DownloadButton.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = DownloadButton.swift; sourceTree = "<group>"; };
8A08D20A2AC73B1500FE6CD4 /* bridging-header.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; path = "bridging-header.h"; sourceTree = "<group>"; };
8A1C83732AC328BD0096AF73 /* llama.swiftui.app */ = {isa = PBXFileReference; explicitFileType = wrapper.application; includeInIndex = 0; path = llama.swiftui.app; sourceTree = BUILT_PRODUCTS_DIR; };
8A1C83762AC328BD0096AF73 /* llama_swiftuiApp.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = llama_swiftuiApp.swift; sourceTree = "<group>"; };
8A1C83782AC328BD0096AF73 /* ContentView.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = ContentView.swift; sourceTree = "<group>"; };
8A1C837A2AC328BE0096AF73 /* Assets.xcassets */ = {isa = PBXFileReference; lastKnownFileType = folder.assetcatalog; path = Assets.xcassets; sourceTree = "<group>"; };
8A1C837D2AC328BE0096AF73 /* Preview Assets.xcassets */ = {isa = PBXFileReference; lastKnownFileType = folder.assetcatalog; path = "Preview Assets.xcassets"; sourceTree = "<group>"; };
8A39BE092AC7601000BFEB40 /* Accelerate.framework */ = {isa = PBXFileReference; lastKnownFileType = wrapper.framework; name = Accelerate.framework; path = System/Library/Frameworks/Accelerate.framework; sourceTree = SDKROOT; };
8A3F84232AC4C891005E2EE8 /* models */ = {isa = PBXFileReference; lastKnownFileType = folder; name = models; path = llama.swiftui/Resources/models; sourceTree = "<group>"; };
8A907F322AC7134E006146EA /* LibLlama.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = LibLlama.swift; sourceTree = "<group>"; };
8A9F7C4C2AC332EE008AE1EA /* LlamaState.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = LlamaState.swift; sourceTree = "<group>"; };
DF2D2FE72B4A59BE00FCB72D /* llama.cpp */ = {isa = PBXFileReference; lastKnownFileType = wrapper; name = llama.cpp; path = ../..; sourceTree = "<group>"; };
F1FE20E12B465EC900B45541 /* LoadCustomButton.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = LoadCustomButton.swift; sourceTree = "<group>"; };
/* End PBXFileReference section */
@@ -77,6 +40,7 @@
isa = PBXFrameworksBuildPhase;
buildActionMask = 2147483647;
files = (
DF810E132B4A5BA200301144 /* llama in Frameworks */,
549479CB2AC9E16000E0F78B /* Metal.framework in Frameworks */,
8A39BE0A2AC7601100BFEB40 /* Accelerate.framework in Frameworks */,
);
@@ -85,30 +49,10 @@
/* End PBXFrameworksBuildPhase section */
/* Begin PBXGroup section */
8A08D1F62AC7383900FE6CD4 /* llama.cpp */ = {
isa = PBXGroup;
children = (
5423760A2B0D9C4B008E6A1C /* ggml-backend.c */,
542376092B0D9C40008E6A1C /* ggml-backend.h */,
542376062B0D9BEA008E6A1C /* ggml-quants.h */,
542376072B0D9BFB008E6A1C /* ggml-quants.c */,
549479C82AC9E10B00E0F78B /* ggml-metal.metal */,
549479C62AC9E0F200E0F78B /* ggml-metal.h */,
549479C52AC9E0F200E0F78B /* ggml-metal.m */,
542EA09B2AC8723900A8AEE9 /* ggml.c */,
542EA09C2AC8723900A8AEE9 /* ggml.h */,
542EA09F2AC8725700A8AEE9 /* ggml-alloc.c */,
542EA09E2AC8725700A8AEE9 /* ggml-alloc.h */,
542EA0A12AC8729100A8AEE9 /* llama.cpp */,
542EA0A22AC8729100A8AEE9 /* llama.h */,
);
name = llama.cpp;
sourceTree = "<group>";
};
8A1C836A2AC328BD0096AF73 = {
isa = PBXGroup;
children = (
8A08D1F62AC7383900FE6CD4 /* llama.cpp */,
DF2D2FE72B4A59BE00FCB72D /* llama.cpp */,
8A907F312AC7134E006146EA /* llama.cpp.swift */,
8A3F84232AC4C891005E2EE8 /* models */,
8A1C83752AC328BD0096AF73 /* llama.swiftui */,
@@ -133,19 +77,10 @@
8A9F7C4A2AC332BF008AE1EA /* UI */,
8A1C83762AC328BD0096AF73 /* llama_swiftuiApp.swift */,
8A1C837A2AC328BE0096AF73 /* Assets.xcassets */,
8A1C837C2AC328BE0096AF73 /* Preview Content */,
);
path = llama.swiftui;
sourceTree = "<group>";
};
8A1C837C2AC328BE0096AF73 /* Preview Content */ = {
isa = PBXGroup;
children = (
8A1C837D2AC328BE0096AF73 /* Preview Assets.xcassets */,
);
path = "Preview Content";
sourceTree = "<group>";
};
8A39BE082AC7601000BFEB40 /* Frameworks */ = {
isa = PBXGroup;
children = (
@@ -173,7 +108,6 @@
8A907F312AC7134E006146EA /* llama.cpp.swift */ = {
isa = PBXGroup;
children = (
8A08D20A2AC73B1500FE6CD4 /* bridging-header.h */,
8A907F322AC7134E006146EA /* LibLlama.swift */,
);
path = llama.cpp.swift;
@@ -209,12 +143,12 @@
8A1C83712AC328BD0096AF73 /* Resources */,
);
buildRules = (
F1FE20DB2B465C2100B45541 /* PBXBuildRule */,
);
dependencies = (
);
name = llama.swiftui;
packageProductDependencies = (
DF810E122B4A5BA200301144 /* llama */,
);
productName = llama.swiftui;
productReference = 8A1C83732AC328BD0096AF73 /* llama.swiftui.app */;
@@ -261,9 +195,7 @@
isa = PBXResourcesBuildPhase;
buildActionMask = 2147483647;
files = (
F1FE20DC2B465C4500B45541 /* ggml-metal.metal in Resources */,
8A3F84242AC4C891005E2EE8 /* models in Resources */,
8A1C837E2AC328BE0096AF73 /* Preview Assets.xcassets in Resources */,
8A1C837B2AC328BE0096AF73 /* Assets.xcassets in Resources */,
);
runOnlyForDeploymentPostprocessing = 0;
@@ -275,18 +207,12 @@
isa = PBXSourcesBuildPhase;
buildActionMask = 2147483647;
files = (
542376082B0D9BFB008E6A1C /* ggml-quants.c in Sources */,
549479CD2AC9E42A00E0F78B /* ggml-metal.m in Sources */,
F1FE20E22B465ECA00B45541 /* LoadCustomButton.swift in Sources */,
542EA09D2AC8723900A8AEE9 /* ggml.c in Sources */,
8A907F332AC7138A006146EA /* LibLlama.swift in Sources */,
542EA0A32AC8729100A8AEE9 /* llama.cpp in Sources */,
8A9F7C4D2AC332EE008AE1EA /* LlamaState.swift in Sources */,
8A1C83792AC328BD0096AF73 /* ContentView.swift in Sources */,
8A1C83772AC328BD0096AF73 /* llama_swiftuiApp.swift in Sources */,
7FA3D2B32B2EA2F600543F92 /* DownloadButton.swift in Sources */,
542EA0A02AC8725700A8AEE9 /* ggml-alloc.c in Sources */,
5423760B2B0D9C4B008E6A1C /* ggml-backend.c in Sources */,
);
runOnlyForDeploymentPostprocessing = 0;
};
@@ -416,11 +342,9 @@
isa = XCBuildConfiguration;
buildSettings = {
ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
CLANG_ENABLE_MODULES = YES;
CODE_SIGN_STYLE = Automatic;
CURRENT_PROJECT_VERSION = 1;
DEVELOPMENT_ASSET_PATHS = "\"llama.swiftui/Preview Content\"";
DEVELOPMENT_TEAM = STLSG3FG8Q;
ENABLE_PREVIEWS = YES;
GENERATE_INFOPLIST_FILE = YES;
@@ -437,11 +361,12 @@
MARKETING_VERSION = 1.0;
PRODUCT_BUNDLE_IDENTIFIER = "com.bachittle.llama-swift";
PRODUCT_NAME = "$(TARGET_NAME)";
SUPPORTED_PLATFORMS = "iphoneos iphonesimulator xros xrsimulator";
SUPPORTS_XR_DESIGNED_FOR_IPHONE_IPAD = NO;
SWIFT_EMIT_LOC_STRINGS = YES;
SWIFT_OBJC_BRIDGING_HEADER = "llama.cpp.swift/bridging-header.h";
SWIFT_OPTIMIZATION_LEVEL = "-Onone";
SWIFT_VERSION = 5.0;
TARGETED_DEVICE_FAMILY = "1,2";
TARGETED_DEVICE_FAMILY = "1,2,7";
};
name = Debug;
};
@@ -449,11 +374,9 @@
isa = XCBuildConfiguration;
buildSettings = {
ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
CLANG_ENABLE_MODULES = YES;
CODE_SIGN_STYLE = Automatic;
CURRENT_PROJECT_VERSION = 1;
DEVELOPMENT_ASSET_PATHS = "\"llama.swiftui/Preview Content\"";
DEVELOPMENT_TEAM = STLSG3FG8Q;
ENABLE_PREVIEWS = YES;
GENERATE_INFOPLIST_FILE = YES;
@@ -470,10 +393,11 @@
MARKETING_VERSION = 1.0;
PRODUCT_BUNDLE_IDENTIFIER = "com.bachittle.llama-swift";
PRODUCT_NAME = "$(TARGET_NAME)";
SUPPORTED_PLATFORMS = "iphoneos iphonesimulator xros xrsimulator";
SUPPORTS_XR_DESIGNED_FOR_IPHONE_IPAD = NO;
SWIFT_EMIT_LOC_STRINGS = YES;
SWIFT_OBJC_BRIDGING_HEADER = "llama.cpp.swift/bridging-header.h";
SWIFT_VERSION = 5.0;
TARGETED_DEVICE_FAMILY = "1,2";
TARGETED_DEVICE_FAMILY = "1,2,7";
};
name = Release;
};
@@ -499,6 +423,13 @@
defaultConfigurationName = Release;
};
/* End XCConfigurationList section */
/* Begin XCSwiftPackageProductDependency section */
DF810E122B4A5BA200301144 /* llama */ = {
isa = XCSwiftPackageProductDependency;
productName = llama;
};
/* End XCSwiftPackageProductDependency section */
};
rootObject = 8A1C836B2AC328BD0096AF73 /* Project object */;
}
@@ -1,11 +0,0 @@
{
"colors" : [
{
"idiom" : "universal"
}
],
"info" : {
"author" : "xcode",
"version" : 1
}
}
@@ -1,6 +0,0 @@
{
"info" : {
"author" : "xcode",
"version" : 1
}
}
+11 -4
View File
@@ -448,8 +448,14 @@ struct llama_client_slot
}
bool has_budget(gpt_params &global_params) {
if (params.n_predict == -1 && global_params.n_predict == -1)
{
return true; // limitless
}
n_remaining = -1;
if(params.n_predict != -1)
if (params.n_predict != -1)
{
n_remaining = params.n_predict - n_decoded;
}
@@ -457,7 +463,8 @@ struct llama_client_slot
{
n_remaining = global_params.n_predict - n_decoded;
}
return n_remaining > 0 || n_remaining == -1; // no budget || limitless
return n_remaining > 0; // no budget
}
bool available() const {
@@ -1103,7 +1110,7 @@ struct llama_server_context
}
// check the limits
if (slot.n_decoded > 2 && slot.has_next_token && !slot.has_budget(params))
if (slot.n_decoded > 0 && slot.has_next_token && !slot.has_budget(params))
{
slot.stopped_limit = true;
slot.has_next_token = false;
@@ -1704,7 +1711,6 @@ struct llama_server_context
llama_batch_add(batch, slot.sampled, system_tokens.size() + slot.n_past, { slot.id }, true);
slot.n_decoded += 1;
slot.n_past += 1;
}
@@ -1922,6 +1928,7 @@ struct llama_server_context
llama_sampling_accept(slot.ctx_sampling, ctx, id, true);
slot.n_decoded += 1;
if (slot.n_decoded == 1)
{
slot.t_start_genereration = ggml_time_us();