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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-26 14:20:31 +01:00
common : fix duplicated file name with hf_repo and hf_file (#10550)
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@ -128,7 +128,11 @@ static void common_params_handle_model_default(common_params & params) {
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}
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params.hf_file = params.model;
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} else if (params.model.empty()) {
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params.model = fs_get_cache_file(string_split<std::string>(params.hf_file, '/').back());
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// this is to avoid different repo having same file name, or same file name in different subdirs
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std::string filename = params.hf_repo + "_" + params.hf_file;
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// to make sure we don't have any slashes in the filename
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string_replace_all(filename, "/", "_");
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params.model = fs_get_cache_file(filename);
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}
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} else if (!params.model_url.empty()) {
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if (params.model.empty()) {
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@ -829,9 +829,9 @@ struct common_init_result common_init_from_params(common_params & 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.c_str(), params.hf_file.c_str(), params.model.c_str(), params.hf_token.c_str(), mparams);
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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.c_str(), params.model.c_str(), params.hf_token.c_str(), mparams);
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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_load_model_from_file(params.model.c_str(), mparams);
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}
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@ -1342,17 +1342,17 @@ static bool common_download_file(const std::string & url, const std::string & pa
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}
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struct llama_model * common_load_model_from_url(
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const char * model_url,
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const char * path_model,
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const char * hf_token,
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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 || strlen(model_url) == 0) {
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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, path_model, hf_token)) {
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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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@ -1363,9 +1363,9 @@ struct llama_model * common_load_model_from_url(
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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(path_model, gguf_params);
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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__, path_model);
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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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@ -1384,13 +1384,13 @@ struct llama_model * common_load_model_from_url(
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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), path_model, 0, n_split)) {
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LOG_ERR("\n%s: unexpected model file name: %s n_split=%d\n", __func__, path_model, n_split);
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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, 0, n_split)) {
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LOG_ERR("\n%s: unexpected model url: %s n_split=%d\n", __func__, model_url, n_split);
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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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@ -1417,14 +1417,14 @@ struct llama_model * common_load_model_from_url(
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}
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}
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return llama_load_model_from_file(path_model, params);
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return llama_load_model_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 char * repo,
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const char * model,
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const char * path_model,
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const char * hf_token,
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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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@ -1438,27 +1438,27 @@ struct llama_model * common_load_model_from_hf(
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std::string model_url = "https://huggingface.co/";
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model_url += repo;
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model_url += "/resolve/main/";
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model_url += model;
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model_url += remote_path;
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return common_load_model_from_url(model_url.c_str(), path_model, hf_token, params);
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return common_load_model_from_url(model_url, local_path, hf_token, params);
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}
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#else
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struct llama_model * common_load_model_from_url(
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const char * /*model_url*/,
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const char * /*path_model*/,
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const char * /*hf_token*/,
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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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LOG_WRN("%s: llama.cpp built without libcurl, downloading from an url not supported.\n", __func__);
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return nullptr;
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}
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struct llama_model * common_load_model_from_hf(
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const char * /*repo*/,
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const char * /*model*/,
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const char * /*path_model*/,
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const char * /*hf_token*/,
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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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LOG_WRN("%s: llama.cpp built without libcurl, downloading from Hugging Face not supported.\n", __func__);
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return nullptr;
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@ -470,8 +470,17 @@ struct llama_model_params common_model_params_to_llama ( common_params
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struct llama_context_params common_context_params_to_llama(const common_params & params);
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struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_params & params);
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struct llama_model * common_load_model_from_url(const char * model_url, const char * path_model, const char * hf_token, const struct llama_model_params & params);
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struct llama_model * common_load_model_from_hf(const char * repo, const char * file, const char * path_model, const char * hf_token, const struct llama_model_params & params);
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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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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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// clear LoRA adapters from context, then apply new list of adapters
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void common_lora_adapters_apply(struct llama_context * ctx, std::vector<common_lora_adapter_container> & lora_adapters);
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@ -319,7 +319,6 @@ class ServerPreset:
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server.model_hf_repo = "ggml-org/models"
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server.model_hf_file = "jina-reranker-v1-tiny-en/ggml-model-f16.gguf"
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server.model_alias = "jina-reranker"
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server.model_file = "./tmp/jina-reranker-v1-tiny-en.gguf"
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server.n_ctx = 512
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server.n_batch = 512
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server.n_slots = 1
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