mirror of
https://github.com/LostRuins/koboldcpp.git
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Merge branch 'upstream' into concedo_experimental
# Conflicts: # .flake8 # .github/workflows/bench.yml # .github/workflows/python-lint.yml # .pre-commit-config.yaml # Makefile # README.md # models/ggml-vocab-bert-bge.gguf.inp # models/ggml-vocab-bert-bge.gguf.out # models/ggml-vocab-deepseek-coder.gguf.inp # models/ggml-vocab-deepseek-coder.gguf.out # models/ggml-vocab-deepseek-llm.gguf.inp # models/ggml-vocab-deepseek-llm.gguf.out # models/ggml-vocab-falcon.gguf.inp # models/ggml-vocab-falcon.gguf.out # models/ggml-vocab-gpt-2.gguf.inp # models/ggml-vocab-gpt-2.gguf.out # models/ggml-vocab-llama-bpe.gguf.inp # models/ggml-vocab-llama-bpe.gguf.out # models/ggml-vocab-llama-spm.gguf.inp # models/ggml-vocab-llama-spm.gguf.out # models/ggml-vocab-mpt.gguf.inp # models/ggml-vocab-mpt.gguf.out # models/ggml-vocab-phi-3.gguf # models/ggml-vocab-phi-3.gguf.inp # models/ggml-vocab-phi-3.gguf.out # models/ggml-vocab-refact.gguf # models/ggml-vocab-starcoder.gguf.inp # models/ggml-vocab-starcoder.gguf.out # requirements/requirements-convert.txt # scripts/compare-llama-bench.py # scripts/run-with-preset.py # scripts/verify-checksum-models.py # tests/CMakeLists.txt # tests/test-tokenizer-0.cpp
This commit is contained in:
@@ -33,6 +33,7 @@ struct split_params {
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int n_split_tensors = 128;
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std::string input;
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std::string output;
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bool no_tensor_first_split = false;
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bool dry_run = false;
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};
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@@ -50,6 +51,7 @@ static void split_print_usage(const char * executable) {
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printf(" --merge merge multiple GGUF to a single GGUF\n");
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printf(" --split-max-tensors max tensors in each split (default: %d)\n", default_params.n_split_tensors);
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printf(" --split-max-size N(M|G) max size per split\n");
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printf(" --no-tensor-first-split do not add tensors to the first split (disabled by default)\n");
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printf(" --dry-run only print out a split plan and exit, without writing any new files\n");
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printf("\n");
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}
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@@ -101,6 +103,10 @@ static void split_params_parse_ex(int argc, const char ** argv, split_params & p
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arg_found = true;
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params.dry_run = true;
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}
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if (arg == "--no-tensor-first-split") {
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arg_found = true;
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params.no_tensor_first_split = true;
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}
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if (is_op_set) {
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throw std::invalid_argument("error: either --split or --merge can be specified, but not both");
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@@ -201,10 +207,10 @@ struct split_strategy {
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// because we need to know list of tensors for each file in advance, we will build all the ctx_out for all output splits
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int i_split = -1;
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struct gguf_context * ctx_out = NULL;
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auto new_ctx_out = [&]() {
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auto new_ctx_out = [&](bool allow_no_tensors) {
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i_split++;
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if (ctx_out != NULL) {
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if (gguf_get_n_tensors(ctx_out) == 0) {
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if (gguf_get_n_tensors(ctx_out) == 0 && !allow_no_tensors) {
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fprintf(stderr, "error: one of splits have 0 tensors. Maybe size or tensors limit is too small\n");
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exit(EXIT_FAILURE);
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}
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@@ -221,7 +227,12 @@ struct split_strategy {
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};
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// initialize ctx_out for the first split
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new_ctx_out();
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new_ctx_out(false);
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// skip first split if no_tensor_first_split is set
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if (params.no_tensor_first_split) {
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new_ctx_out(true);
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}
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// process tensors one by one
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size_t curr_tensors_size = 0; // current size by counting only tensors size (without metadata)
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@@ -231,7 +242,7 @@ struct split_strategy {
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size_t n_bytes = GGML_PAD(ggml_nbytes(t), GGUF_DEFAULT_ALIGNMENT);
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size_t next_tensors_size = curr_tensors_size + n_bytes;
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if (should_split(i, next_tensors_size)) {
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new_ctx_out();
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new_ctx_out(false);
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curr_tensors_size = n_bytes;
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} else {
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curr_tensors_size = next_tensors_size;
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@@ -55,15 +55,15 @@ $MAIN --model $WORK_PATH/ggml-model-merge.gguf --random-prompt --n-predict 32
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echo PASS
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echo
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# 4. Split with no tensor in metadata
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#$SPLIT --split-max-tensors 32 --no-tensor-in-metadata $WORK_PATH/ggml-model-merge.gguf $WORK_PATH/ggml-model-split-32-tensors
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#echo PASS
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#echo
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# 4. Split with no tensors in the first split
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$SPLIT --split-max-tensors 32 --no-tensor-first-split $WORK_PATH/ggml-model-merge.gguf $WORK_PATH/ggml-model-split-32-tensors
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echo PASS
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echo
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# 4b. Test the sharded model is loading properly
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#$MAIN --model $WORK_PATH/ggml-model-split-32-tensors-00001-of-00006.gguf --random-prompt --n-predict 32
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#echo PASS
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#echo
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$MAIN --model $WORK_PATH/ggml-model-split-32-tensors-00001-of-00007.gguf --random-prompt --n-predict 32
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echo PASS
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echo
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# 5. Merge
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#$SPLIT --merge $WORK_PATH/ggml-model-split-32-tensors-00001-of-00006.gguf $WORK_PATH/ggml-model-merge-2.gguf
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