mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-09-19 17:25:07 +02:00
Added backwards compatibility to an earlier version of NeoX.
This commit is contained in:
+28
-11
@@ -17,13 +17,13 @@
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// load the model's weights from a file
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bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_vocab & vocab) {
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ModelLoadResult stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_vocab & vocab, FileFormat file_format) {
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printf("%s: loading model from '%s' - please wait ...\n", __func__, fname.c_str());
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auto fin = std::ifstream(fname, std::ios::binary);
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if (!fin) {
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fprintf(stderr, "%s: failed to open '%s'\n", __func__, fname.c_str());
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return false;
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return ModelLoadResult::FAIL;
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}
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// verify magic
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@@ -32,7 +32,7 @@ bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_
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fin.read((char *) &magic, sizeof(magic));
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if (magic != 0x67676d6c) {
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fprintf(stderr, "%s: invalid model file '%s' (bad magic)\n", __func__, fname.c_str());
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return false;
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return ModelLoadResult::FAIL;
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}
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}
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@@ -88,7 +88,7 @@ bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_
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{
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fprintf(stderr, "%s: invalid model file '%s' (bad ftype value %d)\n",
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__func__, fname.c_str(), model.hparams.ftype);
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return false;
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return ModelLoadResult::FAIL;
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}
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}
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@@ -151,7 +151,7 @@ bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_
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model.ctx = ggml_init(params);
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if (!model.ctx) {
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fprintf(stderr, "%s: ggml_init() failed\n", __func__);
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return false;
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return ModelLoadResult::FAIL;
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}
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}
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@@ -276,19 +276,19 @@ bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_
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if (model.tensors.find(name.data()) == model.tensors.end()) {
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fprintf(stderr, "%s: unknown tensor '%s' in model file\n", __func__, name.data());
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return false;
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return ModelLoadResult::FAIL;
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}
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auto tensor = model.tensors[name.data()];
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if (ggml_nelements(tensor) != nelements) {
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fprintf(stderr, "%s: tensor '%s' has wrong size in model file\n", __func__, name.data());
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return false;
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return ModelLoadResult::FAIL;
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}
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if (tensor->ne[0] != ne[0] || tensor->ne[1] != ne[1]) {
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fprintf(stderr, "%s: tensor '%s' has wrong shape in model file: got [%5d, %5d], expected [%5d, %5d]\n",
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__func__, name.data(), (int) tensor->ne[0], (int) tensor->ne[1], ne[0], ne[1]);
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return false;
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return ModelLoadResult::FAIL;
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}
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// for debugging
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@@ -296,12 +296,29 @@ bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_
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printf("%24s - [%5d, %5d], type = %6s, %6.2f MB, %9zu bytes\n", name.data(), ne[0], ne[1], ggml_type_name(ggml_type(ttype)), ggml_nbytes(tensor)/1024.0/1024.0, ggml_nbytes(tensor));
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}
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const size_t bpe = ggml_type_size(ggml_type(ttype));
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size_t bpe = ggml_type_size(ggml_type(ttype));
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if(file_format==FileFormat::NEOX_1)
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{
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switch (ttype) {
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case 0: bpe = ggml_type_size(GGML_TYPE_F32); break;
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case 1: bpe = ggml_type_size(GGML_TYPE_F16); break;
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case 2: bpe = ggml_type_size(GGML_TYPE_Q4_0); assert(ne[0] % 64 == 0); break;
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case 3: bpe = ggml_type_size(GGML_TYPE_Q4_1); assert(ne[0] % 64 == 0); break;
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case 5: bpe = ggml_type_size(GGML_TYPE_Q4_2); assert(ne[0] % 64 == 0); break;
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case 6: bpe = ggml_type_size(GGML_TYPE_Q4_3); assert(ne[0] % 64 == 0); break;
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default:
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{
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fprintf(stderr, "%s: unknown ftype %d in model file\n", __func__, ttype);
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return ModelLoadResult::FAIL;
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}
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};
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}
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if ((nelements*bpe)/ggml_blck_size(tensor->type) != ggml_nbytes(tensor)) {
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fprintf(stderr, "%s: tensor '%s' has wrong size in model file: got %zu, expected %zu\n",
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__func__, name.data(), ggml_nbytes(tensor), nelements*bpe);
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return false;
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return ModelLoadResult::RETRY_LOAD;
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}
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fin.read(reinterpret_cast<char *>(tensor->data), ggml_nbytes(tensor));
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@@ -320,7 +337,7 @@ bool stablelm_model_load(const std::string & fname, stablelm_model & model, gpt_
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fin.close();
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return true;
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return ModelLoadResult::SUCCESS;
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}
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// evaluate the transformer
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