Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI 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 tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
File size: 11,267 Bytes
8efb28e | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 | // llama-ui-embed: generate ui.cpp / ui.h that embed UI assets as C arrays.
//
// Usage:
// llama-ui-embed <out_cpp> <out_h> [<asset_dir>]
//
// Recursively embeds every regular file under <asset_dir>.
// Asset names are relative paths from <asset_dir> (e.g. "_app/immutable/bundle.HASH.js").
// Without <asset_dir>, emits an empty asset table.
#include <inttypes.h>
#include <stdarg.h>
#include <stdint.h>
#include <stdio.h>
#include <string.h>
#include <algorithm>
#include <filesystem>
#include <fstream>
#include <functional>
#include <string>
#include <vector>
static const char * mime_from_ext(const std::string & name) {
auto ext = name.rfind('.');
if (ext == std::string::npos) return "application/octet-stream";
std::string e = name.substr(ext + 1);
if (e == "html") return "text/html; charset=utf-8";
if (e == "css") return "text/css";
if (e == "js") return "application/javascript";
if (e == "json") return "application/json";
if (e == "webmanifest") return "application/manifest+json";
if (e == "svg") return "image/svg+xml";
if (e == "png") return "image/png";
if (e == "jpg" ||
e == "jpeg") return "image/jpeg";
if (e == "ico") return "image/x-icon";
if (e == "woff") return "font/woff";
if (e == "woff2") return "font/woff2";
return "application/octet-stream";
}
// Computes FNV-1a hash of the data
static uint64_t fnv_hash(const uint8_t * data, size_t len) {
const uint64_t fnv_prime = 0x100000001b3ULL;
uint64_t hash = 0xcbf29ce484222325ULL;
for (size_t i = 0; i < len; ++i) {
hash ^= data[i];
hash *= fnv_prime;
}
return hash;
}
static bool read_file(const std::filesystem::path & path, std::vector<unsigned char> & out) {
std::ifstream f(path, std::ios::binary | std::ios::ate);
if (!f) {
fprintf(stderr, "embed: cannot open %s\n", path.string().c_str());
return false;
}
const auto sz = f.tellg();
if (sz < 0) {
return false;
}
f.seekg(0);
out.resize(static_cast<size_t>(sz));
if (sz > 0 && !f.read(reinterpret_cast<char *>(out.data()), sz)) {
return false;
}
return true;
}
static void append_bytes_hex(std::string & out, const std::vector<unsigned char> & bytes) {
static const char hex[] = "0123456789abcdef";
out.reserve(out.size() + bytes.size() * 5);
for (unsigned char b : bytes) {
out += '0';
out += 'x';
out += hex[b >> 4];
out += hex[b & 0xf];
out += ',';
}
}
static bool write_if_different(const std::string & path, const std::string & content) {
std::ifstream f(path, std::ios::binary | std::ios::ate);
if (f) {
const auto sz = f.tellg();
if (sz >= 0 && static_cast<size_t>(sz) == content.size()) {
std::string existing(static_cast<size_t>(sz), '\0');
f.seekg(0);
if (sz == 0 || f.read(existing.data(), sz)) {
if (existing == content) {
return true;
}
}
}
}
std::ofstream out(path, std::ios::binary | std::ios::trunc);
if (!out) {
fprintf(stderr, "embed: cannot write %s\n", path.c_str());
return false;
}
if (!content.empty()) {
out.write(content.data(), static_cast<std::streamsize>(content.size()));
}
bool ok = out.good();
if (ok) {
printf("embed: write output file %s\n", path.c_str());
}
return ok;
}
static std::string path_basename(const std::string & name) {
const size_t p = name.rfind('/');
return p == std::string::npos ? name : name.substr(p + 1);
}
static bool str_starts_with(const std::string & s, const char * prefix) {
const size_t n = strlen(prefix);
return s.size() >= n && s.compare(0, n, prefix) == 0;
}
static bool str_ends_with(const std::string & s, const char * suffix) {
const size_t n = strlen(suffix);
return s.size() >= n && s.compare(s.size() - n, n, suffix) == 0;
}
static std::string fmt(const char * pattern, ...) {
char tmp[512];
va_list ap;
va_start(ap, pattern);
const int n = vsnprintf(tmp, sizeof(tmp), pattern, ap);
va_end(ap);
return (n > 0) ? std::string(tmp, static_cast<size_t>(n)) : std::string();
}
struct asset_entry {
std::string name;
std::filesystem::path path;
};
int main(int argc, char ** argv) {
if (argc < 3 || argc > 4) {
fprintf(stderr, "usage: %s <out_cpp> <out_h> [<asset_dir>]\n", argv[0]);
return 1;
}
const std::string out_cpp = argv[1];
const std::string out_h = argv[2];
const std::string asset_dir = (argc >= 4) ? argv[3] : std::string();
const bool use_gzip = !asset_dir.empty() && std::filesystem::exists(asset_dir + "/_gzip");
const std::string in_dir = use_gzip ? (asset_dir + "/_gzip") : asset_dir;
std::vector<asset_entry> assets;
if (!in_dir.empty()) {
const std::filesystem::path dir = in_dir;
std::error_code ec;
std::filesystem::recursive_directory_iterator it(dir, ec);
if (ec) {
fprintf(stderr, "embed: cannot iterate %s: %s\n", argv[3], ec.message().c_str());
return 1;
}
for (const auto & entry : it) {
if (!entry.is_regular_file()) {
continue;
}
// name is the relative path from dir, with forward slashes
const std::string name = entry.path().lexically_relative(dir).generic_string();
assets.push_back({ name, entry.path() });
}
// directory iteration order is unspecified; sort for reproducible output
std::sort(assets.begin(), assets.end(),
[](const asset_entry & a, const asset_entry & b) { return a.name < b.name; });
}
const int n_assets = static_cast<int>(assets.size());
if (n_assets > 0) {
using match_fn = std::function<bool(const std::string &)>;
auto exact = [](const char * name) -> match_fn {
return [name](const std::string & base) { return base == name; };
};
struct required_check { const char * label; match_fn match; bool found; };
required_check checks[] = {
{ "index.html", exact("index.html"), false },
{ "loading.html", exact("loading.html"), false },
{ "manifest.webmanifest", exact("manifest.webmanifest"), false },
{ "sw.js", exact("sw.js"), false },
{ "build.json", exact("build.json"), false },
{ "version.json", exact("version.json"), false },
{ "bundle[hash].js", [](const std::string & b) {
return str_starts_with(b, "bundle") && str_ends_with(b, ".js");
}, false },
{ "bundle[hash].css", [](const std::string & b) {
return str_starts_with(b, "bundle") && str_ends_with(b, ".css");
}, false },
{ "workbox[hash].js", [](const std::string & b) {
return str_starts_with(b, "workbox") && str_ends_with(b, ".js");
}, false },
};
for (const auto & a : assets) {
const std::string base = path_basename(a.name);
for (auto & c : checks) {
if (!c.found) { c.found = c.match(base); }
}
}
std::vector<const char *> missing;
for (const auto & c : checks) {
if (!c.found) { missing.push_back(c.label); }
}
if (!missing.empty()) {
fprintf(stderr, "\ncurrent asset files:\n");
for (const auto & a : assets) {
fprintf(stderr, " %s\n", a.name.c_str());
}
fprintf(stderr, "missing required asset(s):\n");
for (const char * m : missing) {
fprintf(stderr, " %s\n", m);
}
fprintf(stderr, "hint: try cleaning your build directory: %s\n", in_dir.c_str());
return 1;
}
}
std::string h;
h += "#pragma once\n\n#include <array>\n#include <string>\n\n";
if (n_assets > 0) {
h += "#define LLAMA_UI_HAS_ASSETS 1\n\n";
}
h +=
"struct llama_ui_asset {\n"
" std::string name;\n"
" const unsigned char * data;\n"
" std::size_t size;\n"
" std::string etag;\n"
" std::string type;\n"
"};\n\n"
"const llama_ui_asset * llama_ui_find_asset(const std::string & name);\n"
"bool llama_ui_use_gzip();\n";
h += fmt("const std::array<llama_ui_asset, %d> & llama_ui_get_assets();\n", n_assets);
std::string cpp;
cpp += "#include \"ui.h\"\n\n";
if (n_assets > 0) {
for (int i = 0; i < n_assets; i++) {
std::vector<unsigned char> bytes;
if (!read_file(assets[i].path, bytes)) {
return 1;
}
if (bytes.empty()) {
fprintf(stderr, "embed: empty file: %s\n", assets[i].path.generic_string().c_str());
return 1;
}
cpp += fmt("static const unsigned char asset_%d_data[] = {", i);
append_bytes_hex(cpp, bytes);
const auto hash = fnv_hash(bytes.data(), bytes.size());
cpp += fmt("};\nstatic const std::size_t asset_%d_size = %zu;\n",
i, bytes.size());
cpp += fmt("static const char asset_%d_etag[] = \"\\\"0x%016" PRIx64 "\\\"\";\n\n",
i, hash);
}
cpp += fmt("static const std::array<llama_ui_asset, %d> g_assets = {{\n", n_assets);
for (int i = 0; i < n_assets; i++) {
const std::string & name = assets[i].name;
cpp += fmt(" { \"%s\", asset_%d_data, asset_%d_size, asset_%d_etag, \"%s\" },\n",
name.c_str(), i, i, i, mime_from_ext(name));
}
cpp += "}};\n\n";
cpp +=
"const llama_ui_asset * llama_ui_find_asset(const std::string & name) {\n"
" for (const auto & a : g_assets) {\n"
" if (a.name == name) {\n"
" return &a;\n"
" }\n"
" }\n"
" return nullptr;\n"
"}\n";
cpp += fmt("const std::array<llama_ui_asset, %d> & llama_ui_get_assets() {\n", n_assets);
cpp += " return g_assets;\n"
"}\n";
} else {
cpp +=
"const llama_ui_asset * llama_ui_find_asset(const std::string &) {\n"
" return nullptr;\n"
"}\n"
"const std::array<llama_ui_asset, 0> & llama_ui_get_assets() {\n"
" static const std::array<llama_ui_asset, 0> empty{};\n"
" return empty;\n"
"}\n";
}
cpp += fmt("bool llama_ui_use_gzip() { return %s; }\n", use_gzip ? "true" : "false");
bool ok = true;
ok = write_if_different(out_h, h) && ok;
ok = write_if_different(out_cpp, cpp) && ok;
return ok ? 0 : 1;
}
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