Instructions to use VladHong/llama-cpp-K2-FAST2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use VladHong/llama-cpp-K2-FAST2 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: ./build/bin/llama cli -hf VladHong/llama-cpp-K2-FAST2
Use Docker
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Llama new
- LM Studio
- Jan
- Ollama
How to use VladHong/llama-cpp-K2-FAST2 with Ollama:
ollama run hf.co/VladHong/llama-cpp-K2-FAST2
- Unsloth Desktop
- Docker Model Runner
How to use VladHong/llama-cpp-K2-FAST2 with Docker Model Runner:
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Lemonade
How to use VladHong/llama-cpp-K2-FAST2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VladHong/llama-cpp-K2-FAST2
Run and chat with the model
lemonade run user.llama-cpp-K2-FAST2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 5,033 Bytes
c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 | #include "build-info.h"
#include "llama.h"
#include <cstdio>
#include <cstdlib>
#include <string>
#include <vector>
// embedded data generated by cmake
extern const char * LICENSES[];
// visible
int llama_server(int argc, char ** argv);
int llama_cli(int argc, char ** argv);
// hidden
int llama_completion(int argc, char ** argv);
int llama_bench(int argc, char ** argv);
int llama_batched_bench(int argc, char ** argv);
int llama_fit_params(int argc, char ** argv);
int llama_quantize(int argc, char ** argv);
int llama_perplexity(int argc, char ** argv);
int llama_download(int argc, char ** argv);
// Self-update is only supported for binaries built with llama-install.sh
static int llama_update(int argc, char ** argv) {
(void) argc;
(void) argv;
#ifdef LLAMA_INSTALL_BUILD
#if defined(_WIN32)
return system("powershell -NoProfile -ExecutionPolicy Bypass -Command \"irm https://llama.app/install.ps1 | iex\"");
#else
return system("curl -fsSL https://llama.app/install.sh | sh");
#endif
#else
printf("Updates are available only when installed from https://llama.app\n");
return 1;
#endif
}
static const char * progname;
static int help(int argc, char ** argv);
static int version(int argc, char ** argv);
static int licenses(int argc, char ** argv);
struct command {
const char * name;
const char * desc;
std::vector<std::string> aliases;
bool hidden;
int (*func)(int, char **);
bool flags = false; // allow --name
};
#ifdef LLAMA_INSTALL_BUILD
#define UPDATE_HIDDEN false
#else
#define UPDATE_HIDDEN true
#endif
static const command cmds[] = {
{"serve", "HTTP API server", {"server"}, false, llama_server },
{"cli", "Command-line interactive interface", {"client"}, false, llama_cli },
{"update", "Update llama to the latest release", {}, UPDATE_HIDDEN, llama_update },
{"download", "Download a model", {"get"}, false, llama_download },
{"completion", "Text completion", {"complete"}, true, llama_completion },
{"bench", "Benchmark prompt processing and text generation", {}, true, llama_bench },
{"batched-bench", "Benchmark batched decoding performance", {}, true, llama_batched_bench},
{"fit-params", "Compute parameters to fit a model in device memory", {}, true, llama_fit_params },
{"quantize", "Quantize a model", {}, true, llama_quantize },
{"perplexity", "Compute model perplexity and KL divergence", {}, true, llama_perplexity },
{"version", "Show version", {}, false, version, true },
{"licenses", "Show third-party licenses", {"credits"}, false, licenses, true },
{"help", "Show available commands", {}, false, help, true },
};
#undef UPDATE_HIDDEN
static int version(int /*argc*/, char ** /*argv*/) {
llama_print_build_info(llama_version());
return 0;
}
static int licenses(int /*argc*/, char ** /*argv*/) {
for (int i = 0; LICENSES[i]; ++i) {
printf("%s\n", LICENSES[i]);
}
return 0;
}
static int help(int argc, char ** argv) {
const bool show_all = argc >= 2 && std::string(argv[1]) == "all";
printf("Usage: %s <command> [options]\n\nAvailable commands:\n", progname);
for (const auto & cmd : cmds) {
if (show_all || !cmd.hidden) {
printf(" %-15s %s\n", cmd.name, cmd.desc);
}
}
printf("\n");
if (!show_all) {
printf("Run '%s help all' to show additional commands.\n", progname);
}
printf("Run '%s <command> --help' for command-specific usage.\n", progname);
return 0;
}
static bool matches(std::string arg, const command & cmd) {
if (cmd.flags && arg.size() > 2 && arg[0] == '-' && arg[1] == '-') {
arg.erase(0, 2);
}
if (arg == cmd.name) {
return true;
}
for (const auto & alias : cmd.aliases) {
if (arg == alias) {
return true;
}
}
return false;
}
int main(int argc, char ** argv) {
progname = argv[0];
const std::string arg = argc >= 2 ? argv[1] : "help";
for (const auto & cmd : cmds) {
if (matches(arg, cmd)) {
// keep cmd.name so the router's child processes re-invoke correctly
#ifdef _WIN32
_putenv_s("LLAMA_APP_CMD", cmd.name);
#else
setenv("LLAMA_APP_CMD", cmd.name, 1);
#endif
return cmd.func(argc - 1, argv + 1);
}
}
fprintf(stderr, "error: unknown command '%s'\n", arg.c_str());
return 1;
}
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