common : refactor downloading system, handle mmproj with -hf option (#12694)
* (wip) refactor downloading system [no ci] * fix all examples * fix mmproj with -hf * gemma3: update readme * only handle mmproj in llava example * fix multi-shard download * windows: fix problem with std::min and std::max * fix 2
This commit is contained in:
parent
f423981ac8
commit
267c1399f1
19 changed files with 673 additions and 635 deletions
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@ -51,45 +51,11 @@
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#include <sys/stat.h>
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#include <unistd.h>
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#endif
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#if defined(LLAMA_USE_CURL)
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#include <curl/curl.h>
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#include <curl/easy.h>
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#include <future>
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#endif
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#if defined(_MSC_VER)
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#pragma warning(disable: 4244 4267) // possible loss of data
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#endif
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#if defined(LLAMA_USE_CURL)
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#ifdef __linux__
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#include <linux/limits.h>
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#elif defined(_WIN32)
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# if !defined(PATH_MAX)
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# define PATH_MAX MAX_PATH
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# endif
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#else
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#include <sys/syslimits.h>
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#endif
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#define LLAMA_CURL_MAX_URL_LENGTH 2084 // Maximum URL Length in Chrome: 2083
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//
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// CURL utils
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//
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using curl_ptr = std::unique_ptr<CURL, decltype(&curl_easy_cleanup)>;
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// cannot use unique_ptr for curl_slist, because we cannot update without destroying the old one
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struct curl_slist_ptr {
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struct curl_slist * ptr = nullptr;
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~curl_slist_ptr() {
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if (ptr) {
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curl_slist_free_all(ptr);
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}
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}
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};
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#endif // LLAMA_USE_CURL
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using json = nlohmann::ordered_json;
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//
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@ -900,22 +866,14 @@ std::string fs_get_cache_file(const std::string & filename) {
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//
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// Model utils
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//
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struct common_init_result common_init_from_params(common_params & params) {
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common_init_result iparams;
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auto mparams = common_model_params_to_llama(params);
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llama_model * model = nullptr;
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if (!params.hf_repo.empty() && !params.hf_file.empty()) {
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model = common_load_model_from_hf(params.hf_repo, params.hf_file, params.model, params.hf_token, mparams);
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} else if (!params.model_url.empty()) {
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model = common_load_model_from_url(params.model_url, params.model, params.hf_token, mparams);
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} else {
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model = llama_model_load_from_file(params.model.c_str(), mparams);
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}
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llama_model * model = llama_model_load_from_file(params.model.path.c_str(), mparams);
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if (model == NULL) {
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LOG_ERR("%s: failed to load model '%s'\n", __func__, params.model.c_str());
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LOG_ERR("%s: failed to load model '%s'\n", __func__, params.model.path.c_str());
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return iparams;
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}
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@ -950,7 +908,7 @@ struct common_init_result common_init_from_params(common_params & params) {
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llama_context * lctx = llama_init_from_model(model, cparams);
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if (lctx == NULL) {
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LOG_ERR("%s: failed to create context with model '%s'\n", __func__, params.model.c_str());
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LOG_ERR("%s: failed to create context with model '%s'\n", __func__, params.model.path.c_str());
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llama_model_free(model);
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return iparams;
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}
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@ -1164,451 +1122,6 @@ struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_p
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return tpp;
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}
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#ifdef LLAMA_USE_CURL
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#define CURL_MAX_RETRY 3
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#define CURL_RETRY_DELAY_SECONDS 2
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static bool curl_perform_with_retry(const std::string & url, CURL * curl, int max_attempts, int retry_delay_seconds) {
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int remaining_attempts = max_attempts;
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while (remaining_attempts > 0) {
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LOG_INF("%s: Trying to download from %s (attempt %d of %d)...\n", __func__ , url.c_str(), max_attempts - remaining_attempts + 1, max_attempts);
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CURLcode res = curl_easy_perform(curl);
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if (res == CURLE_OK) {
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return true;
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}
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int exponential_backoff_delay = std::pow(retry_delay_seconds, max_attempts - remaining_attempts) * 1000;
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LOG_WRN("%s: curl_easy_perform() failed: %s, retrying after %d milliseconds...\n", __func__, curl_easy_strerror(res), exponential_backoff_delay);
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remaining_attempts--;
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std::this_thread::sleep_for(std::chrono::milliseconds(exponential_backoff_delay));
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}
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LOG_ERR("%s: curl_easy_perform() failed after %d attempts\n", __func__, max_attempts);
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return false;
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}
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static bool common_download_file(const std::string & url, const std::string & path, const std::string & hf_token) {
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// Initialize libcurl
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curl_ptr curl(curl_easy_init(), &curl_easy_cleanup);
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curl_slist_ptr http_headers;
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if (!curl) {
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LOG_ERR("%s: error initializing libcurl\n", __func__);
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return false;
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}
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bool force_download = false;
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// Set the URL, allow to follow http redirection
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curl_easy_setopt(curl.get(), CURLOPT_URL, url.c_str());
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curl_easy_setopt(curl.get(), CURLOPT_FOLLOWLOCATION, 1L);
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// Check if hf-token or bearer-token was specified
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if (!hf_token.empty()) {
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std::string auth_header = "Authorization: Bearer " + hf_token;
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http_headers.ptr = curl_slist_append(http_headers.ptr, auth_header.c_str());
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curl_easy_setopt(curl.get(), CURLOPT_HTTPHEADER, http_headers.ptr);
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}
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#if defined(_WIN32)
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// CURLSSLOPT_NATIVE_CA tells libcurl to use standard certificate store of
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// operating system. Currently implemented under MS-Windows.
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curl_easy_setopt(curl.get(), CURLOPT_SSL_OPTIONS, CURLSSLOPT_NATIVE_CA);
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#endif
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// Check if the file already exists locally
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auto file_exists = std::filesystem::exists(path);
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// If the file exists, check its JSON metadata companion file.
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std::string metadata_path = path + ".json";
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nlohmann::json metadata;
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std::string etag;
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std::string last_modified;
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if (file_exists) {
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// Try and read the JSON metadata file (note: stream autoclosed upon exiting this block).
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std::ifstream metadata_in(metadata_path);
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if (metadata_in.good()) {
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try {
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metadata_in >> metadata;
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LOG_INF("%s: previous metadata file found %s: %s\n", __func__, metadata_path.c_str(), metadata.dump().c_str());
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if (metadata.contains("url") && metadata.at("url").is_string()) {
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auto previous_url = metadata.at("url").get<std::string>();
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if (previous_url != url) {
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LOG_ERR("%s: Model URL mismatch: %s != %s\n", __func__, url.c_str(), previous_url.c_str());
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return false;
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}
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}
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if (metadata.contains("etag") && metadata.at("etag").is_string()) {
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etag = metadata.at("etag");
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}
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if (metadata.contains("lastModified") && metadata.at("lastModified").is_string()) {
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last_modified = metadata.at("lastModified");
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}
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} catch (const nlohmann::json::exception & e) {
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LOG_ERR("%s: error reading metadata file %s: %s\n", __func__, metadata_path.c_str(), e.what());
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return false;
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}
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}
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} else {
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LOG_INF("%s: no previous model file found %s\n", __func__, path.c_str());
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}
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// Send a HEAD request to retrieve the etag and last-modified headers
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struct common_load_model_from_url_headers {
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std::string etag;
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std::string last_modified;
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};
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common_load_model_from_url_headers headers;
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{
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typedef size_t(*CURLOPT_HEADERFUNCTION_PTR)(char *, size_t, size_t, void *);
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auto header_callback = [](char * buffer, size_t /*size*/, size_t n_items, void * userdata) -> size_t {
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common_load_model_from_url_headers * headers = (common_load_model_from_url_headers *) userdata;
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static std::regex header_regex("([^:]+): (.*)\r\n");
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static std::regex etag_regex("ETag", std::regex_constants::icase);
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static std::regex last_modified_regex("Last-Modified", std::regex_constants::icase);
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std::string header(buffer, n_items);
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std::smatch match;
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if (std::regex_match(header, match, header_regex)) {
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const std::string & key = match[1];
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const std::string & value = match[2];
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if (std::regex_match(key, match, etag_regex)) {
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headers->etag = value;
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} else if (std::regex_match(key, match, last_modified_regex)) {
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headers->last_modified = value;
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}
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}
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return n_items;
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};
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curl_easy_setopt(curl.get(), CURLOPT_NOBODY, 1L); // will trigger the HEAD verb
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curl_easy_setopt(curl.get(), CURLOPT_NOPROGRESS, 1L); // hide head request progress
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curl_easy_setopt(curl.get(), CURLOPT_HEADERFUNCTION, static_cast<CURLOPT_HEADERFUNCTION_PTR>(header_callback));
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curl_easy_setopt(curl.get(), CURLOPT_HEADERDATA, &headers);
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bool was_perform_successful = curl_perform_with_retry(url, curl.get(), CURL_MAX_RETRY, CURL_RETRY_DELAY_SECONDS);
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if (!was_perform_successful) {
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return false;
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}
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long http_code = 0;
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curl_easy_getinfo(curl.get(), CURLINFO_RESPONSE_CODE, &http_code);
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if (http_code != 200) {
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// HEAD not supported, we don't know if the file has changed
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// force trigger downloading
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force_download = true;
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LOG_ERR("%s: HEAD invalid http status code received: %ld\n", __func__, http_code);
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}
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}
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bool should_download = !file_exists || force_download;
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if (!should_download) {
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if (!etag.empty() && etag != headers.etag) {
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LOG_WRN("%s: ETag header is different (%s != %s): triggering a new download\n", __func__, etag.c_str(), headers.etag.c_str());
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should_download = true;
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} else if (!last_modified.empty() && last_modified != headers.last_modified) {
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LOG_WRN("%s: Last-Modified header is different (%s != %s): triggering a new download\n", __func__, last_modified.c_str(), headers.last_modified.c_str());
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should_download = true;
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}
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}
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if (should_download) {
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std::string path_temporary = path + ".downloadInProgress";
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if (file_exists) {
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LOG_WRN("%s: deleting previous downloaded file: %s\n", __func__, path.c_str());
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if (remove(path.c_str()) != 0) {
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LOG_ERR("%s: unable to delete file: %s\n", __func__, path.c_str());
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return false;
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}
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}
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// Set the output file
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struct FILE_deleter {
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void operator()(FILE * f) const {
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fclose(f);
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}
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};
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std::unique_ptr<FILE, FILE_deleter> outfile(fopen(path_temporary.c_str(), "wb"));
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if (!outfile) {
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LOG_ERR("%s: error opening local file for writing: %s\n", __func__, path.c_str());
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return false;
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}
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typedef size_t(*CURLOPT_WRITEFUNCTION_PTR)(void * data, size_t size, size_t nmemb, void * fd);
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auto write_callback = [](void * data, size_t size, size_t nmemb, void * fd) -> size_t {
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return fwrite(data, size, nmemb, (FILE *)fd);
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};
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curl_easy_setopt(curl.get(), CURLOPT_NOBODY, 0L);
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curl_easy_setopt(curl.get(), CURLOPT_WRITEFUNCTION, static_cast<CURLOPT_WRITEFUNCTION_PTR>(write_callback));
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curl_easy_setopt(curl.get(), CURLOPT_WRITEDATA, outfile.get());
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// display download progress
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curl_easy_setopt(curl.get(), CURLOPT_NOPROGRESS, 0L);
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// helper function to hide password in URL
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auto llama_download_hide_password_in_url = [](const std::string & url) -> std::string {
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std::size_t protocol_pos = url.find("://");
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if (protocol_pos == std::string::npos) {
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return url; // Malformed URL
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}
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std::size_t at_pos = url.find('@', protocol_pos + 3);
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if (at_pos == std::string::npos) {
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return url; // No password in URL
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}
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return url.substr(0, protocol_pos + 3) + "********" + url.substr(at_pos);
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};
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// start the download
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LOG_INF("%s: trying to download model from %s to %s (server_etag:%s, server_last_modified:%s)...\n", __func__,
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llama_download_hide_password_in_url(url).c_str(), path.c_str(), headers.etag.c_str(), headers.last_modified.c_str());
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bool was_perform_successful = curl_perform_with_retry(url, curl.get(), CURL_MAX_RETRY, CURL_RETRY_DELAY_SECONDS);
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if (!was_perform_successful) {
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return false;
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}
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long http_code = 0;
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curl_easy_getinfo (curl.get(), CURLINFO_RESPONSE_CODE, &http_code);
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if (http_code < 200 || http_code >= 400) {
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LOG_ERR("%s: invalid http status code received: %ld\n", __func__, http_code);
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return false;
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}
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// Causes file to be closed explicitly here before we rename it.
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outfile.reset();
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// Write the updated JSON metadata file.
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metadata.update({
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{"url", url},
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{"etag", headers.etag},
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{"lastModified", headers.last_modified}
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});
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std::ofstream(metadata_path) << metadata.dump(4);
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LOG_INF("%s: file metadata saved: %s\n", __func__, metadata_path.c_str());
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if (rename(path_temporary.c_str(), path.c_str()) != 0) {
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LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, path_temporary.c_str(), path.c_str());
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return false;
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}
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}
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return true;
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}
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struct llama_model * common_load_model_from_url(
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const std::string & model_url,
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const std::string & local_path,
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const std::string & hf_token,
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const struct llama_model_params & params) {
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// Basic validation of the model_url
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if (model_url.empty()) {
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LOG_ERR("%s: invalid model_url\n", __func__);
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return NULL;
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}
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if (!common_download_file(model_url, local_path, hf_token)) {
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return NULL;
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}
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// check for additional GGUFs split to download
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int n_split = 0;
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{
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struct gguf_init_params gguf_params = {
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/*.no_alloc = */ true,
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/*.ctx = */ NULL,
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};
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auto * ctx_gguf = gguf_init_from_file(local_path.c_str(), gguf_params);
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if (!ctx_gguf) {
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LOG_ERR("\n%s: failed to load input GGUF from %s\n", __func__, local_path.c_str());
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return NULL;
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}
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auto key_n_split = gguf_find_key(ctx_gguf, LLM_KV_SPLIT_COUNT);
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if (key_n_split >= 0) {
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n_split = gguf_get_val_u16(ctx_gguf, key_n_split);
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}
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gguf_free(ctx_gguf);
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}
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if (n_split > 1) {
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char split_prefix[PATH_MAX] = {0};
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char split_url_prefix[LLAMA_CURL_MAX_URL_LENGTH] = {0};
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// Verify the first split file format
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// and extract split URL and PATH prefixes
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{
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if (!llama_split_prefix(split_prefix, sizeof(split_prefix), local_path.c_str(), 0, n_split)) {
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LOG_ERR("\n%s: unexpected model file name: %s n_split=%d\n", __func__, local_path.c_str(), n_split);
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return NULL;
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}
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if (!llama_split_prefix(split_url_prefix, sizeof(split_url_prefix), model_url.c_str(), 0, n_split)) {
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LOG_ERR("\n%s: unexpected model url: %s n_split=%d\n", __func__, model_url.c_str(), n_split);
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return NULL;
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}
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}
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// Prepare download in parallel
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std::vector<std::future<bool>> futures_download;
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for (int idx = 1; idx < n_split; idx++) {
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futures_download.push_back(std::async(std::launch::async, [&split_prefix, &split_url_prefix, &n_split, hf_token](int download_idx) -> bool {
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char split_path[PATH_MAX] = {0};
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llama_split_path(split_path, sizeof(split_path), split_prefix, download_idx, n_split);
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char split_url[LLAMA_CURL_MAX_URL_LENGTH] = {0};
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llama_split_path(split_url, sizeof(split_url), split_url_prefix, download_idx, n_split);
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return common_download_file(split_url, split_path, hf_token);
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}, idx));
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}
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// Wait for all downloads to complete
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for (auto & f : futures_download) {
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if (!f.get()) {
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return NULL;
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}
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}
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}
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return llama_model_load_from_file(local_path.c_str(), params);
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}
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struct llama_model * common_load_model_from_hf(
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const std::string & repo,
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const std::string & remote_path,
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const std::string & local_path,
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const std::string & hf_token,
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const struct llama_model_params & params) {
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// construct hugging face model url:
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//
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// --repo ggml-org/models --file tinyllama-1.1b/ggml-model-f16.gguf
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// https://huggingface.co/ggml-org/models/resolve/main/tinyllama-1.1b/ggml-model-f16.gguf
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//
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// --repo TheBloke/Mixtral-8x7B-v0.1-GGUF --file mixtral-8x7b-v0.1.Q4_K_M.gguf
|
||||
// https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF/resolve/main/mixtral-8x7b-v0.1.Q4_K_M.gguf
|
||||
//
|
||||
|
||||
std::string model_url = "https://huggingface.co/";
|
||||
model_url += repo;
|
||||
model_url += "/resolve/main/";
|
||||
model_url += remote_path;
|
||||
|
||||
return common_load_model_from_url(model_url, local_path, hf_token, params);
|
||||
}
|
||||
|
||||
/**
|
||||
* Allow getting the HF file from the HF repo with tag (like ollama), for example:
|
||||
* - bartowski/Llama-3.2-3B-Instruct-GGUF:q4
|
||||
* - bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
|
||||
* - bartowski/Llama-3.2-3B-Instruct-GGUF:q5_k_s
|
||||
* Tag is optional, default to "latest" (meaning it checks for Q4_K_M first, then Q4, then if not found, return the first GGUF file in repo)
|
||||
*
|
||||
* Return pair of <repo, file> (with "repo" already having tag removed)
|
||||
*
|
||||
* Note: we use the Ollama-compatible HF API, but not using the blobId. Instead, we use the special "ggufFile" field which returns the value for "hf_file". This is done to be backward-compatible with existing cache files.
|
||||
*/
|
||||
std::pair<std::string, std::string> common_get_hf_file(const std::string & hf_repo_with_tag, const std::string & hf_token) {
|
||||
auto parts = string_split<std::string>(hf_repo_with_tag, ':');
|
||||
std::string tag = parts.size() > 1 ? parts.back() : "latest";
|
||||
std::string hf_repo = parts[0];
|
||||
if (string_split<std::string>(hf_repo, '/').size() != 2) {
|
||||
throw std::invalid_argument("error: invalid HF repo format, expected <user>/<model>[:quant]\n");
|
||||
}
|
||||
|
||||
// fetch model info from Hugging Face Hub API
|
||||
json model_info;
|
||||
curl_ptr curl(curl_easy_init(), &curl_easy_cleanup);
|
||||
curl_slist_ptr http_headers;
|
||||
std::string res_str;
|
||||
std::string url = "https://huggingface.co/v2/" + hf_repo + "/manifests/" + tag;
|
||||
curl_easy_setopt(curl.get(), CURLOPT_URL, url.c_str());
|
||||
curl_easy_setopt(curl.get(), CURLOPT_NOPROGRESS, 1L);
|
||||
typedef size_t(*CURLOPT_WRITEFUNCTION_PTR)(void * ptr, size_t size, size_t nmemb, void * data);
|
||||
auto write_callback = [](void * ptr, size_t size, size_t nmemb, void * data) -> size_t {
|
||||
static_cast<std::string *>(data)->append((char * ) ptr, size * nmemb);
|
||||
return size * nmemb;
|
||||
};
|
||||
curl_easy_setopt(curl.get(), CURLOPT_WRITEFUNCTION, static_cast<CURLOPT_WRITEFUNCTION_PTR>(write_callback));
|
||||
curl_easy_setopt(curl.get(), CURLOPT_WRITEDATA, &res_str);
|
||||
#if defined(_WIN32)
|
||||
curl_easy_setopt(curl.get(), CURLOPT_SSL_OPTIONS, CURLSSLOPT_NATIVE_CA);
|
||||
#endif
|
||||
if (!hf_token.empty()) {
|
||||
std::string auth_header = "Authorization: Bearer " + hf_token;
|
||||
http_headers.ptr = curl_slist_append(http_headers.ptr, auth_header.c_str());
|
||||
}
|
||||
// Important: the User-Agent must be "llama-cpp" to get the "ggufFile" field in the response
|
||||
http_headers.ptr = curl_slist_append(http_headers.ptr, "User-Agent: llama-cpp");
|
||||
http_headers.ptr = curl_slist_append(http_headers.ptr, "Accept: application/json");
|
||||
curl_easy_setopt(curl.get(), CURLOPT_HTTPHEADER, http_headers.ptr);
|
||||
|
||||
CURLcode res = curl_easy_perform(curl.get());
|
||||
|
||||
if (res != CURLE_OK) {
|
||||
throw std::runtime_error("error: cannot make GET request to HF API");
|
||||
}
|
||||
|
||||
long res_code;
|
||||
curl_easy_getinfo(curl.get(), CURLINFO_RESPONSE_CODE, &res_code);
|
||||
if (res_code == 200) {
|
||||
model_info = json::parse(res_str);
|
||||
} else if (res_code == 401) {
|
||||
throw std::runtime_error("error: model is private or does not exist; if you are accessing a gated model, please provide a valid HF token");
|
||||
} else {
|
||||
throw std::runtime_error(string_format("error from HF API, response code: %ld, data: %s", res_code, res_str.c_str()));
|
||||
}
|
||||
|
||||
// check response
|
||||
if (!model_info.contains("ggufFile")) {
|
||||
throw std::runtime_error("error: model does not have ggufFile");
|
||||
}
|
||||
json & gguf_file = model_info.at("ggufFile");
|
||||
if (!gguf_file.contains("rfilename")) {
|
||||
throw std::runtime_error("error: ggufFile does not have rfilename");
|
||||
}
|
||||
|
||||
return std::make_pair(hf_repo, gguf_file.at("rfilename"));
|
||||
}
|
||||
|
||||
#else
|
||||
|
||||
struct llama_model * common_load_model_from_url(
|
||||
const std::string & /*model_url*/,
|
||||
const std::string & /*local_path*/,
|
||||
const std::string & /*hf_token*/,
|
||||
const struct llama_model_params & /*params*/) {
|
||||
LOG_WRN("%s: llama.cpp built without libcurl, downloading from an url not supported.\n", __func__);
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
struct llama_model * common_load_model_from_hf(
|
||||
const std::string & /*repo*/,
|
||||
const std::string & /*remote_path*/,
|
||||
const std::string & /*local_path*/,
|
||||
const std::string & /*hf_token*/,
|
||||
const struct llama_model_params & /*params*/) {
|
||||
LOG_WRN("%s: llama.cpp built without libcurl, downloading from Hugging Face not supported.\n", __func__);
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
std::pair<std::string, std::string> common_get_hf_file(const std::string &, const std::string &) {
|
||||
LOG_WRN("%s: llama.cpp built without libcurl, downloading from Hugging Face not supported.\n", __func__);
|
||||
return std::make_pair("", "");
|
||||
}
|
||||
|
||||
#endif // LLAMA_USE_CURL
|
||||
|
||||
//
|
||||
// Batch utils
|
||||
//
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue