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https://github.com/LostRuins/koboldcpp.git
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Merge branch 'upstream' into concedo_experimental
# Conflicts: # common/common.cpp # ggml/CMakeLists.txt # scripts/sync-ggml.last # scripts/sync_vendor.py # src/llama-context.cpp # tests/CMakeLists.txt # tests/test-backend-ops.cpp # tools/cli/README.md # tools/completion/README.md # tools/server/README.md
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@@ -13,6 +13,7 @@
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#include "llama.h"
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#include "sampling.h"
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#include "ggml/src/ggml-opt.cpp" //dear god pls
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#include "speculative.h"
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#include "unicode.h"
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#include <algorithm>
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@@ -1253,6 +1254,29 @@ common_init_result::common_init_result(common_params & params) :
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cparams.n_samplers = pimpl->samplers_seq_config.size();
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}
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// [TAG_RS_STATE_ROLLBACK_SUPPORT]
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// TODO: ngram speculative methods require checkpointing in addition to partial RS rollback
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// currently this is not supported. so we disable the partial rollback
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if (cparams.n_rs_seq > 0 && (llama_model_is_recurrent(model) || llama_model_is_hybrid(model))) {
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auto & types = params.speculative.types;
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for (int i = 0; i < (int) types.size(); i++) {
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if (types[i] == COMMON_SPECULATIVE_TYPE_NONE) {
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continue;
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}
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if (types[i] == COMMON_SPECULATIVE_TYPE_DRAFT_MTP) {
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continue;
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}
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cparams.n_rs_seq = 0;
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LOG_WRN("%s: recurrent state rollback is not compatible with '%s' - disabling rollback support\n", __func__,
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common_speculative_type_to_str(types[i]).c_str());
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break;
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}
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}
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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.path.c_str());
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@@ -1441,6 +1465,12 @@ common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) {
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goto done;
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}
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if (llama_n_rs_seq(ctx) > 0) {
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LOG_INF("%s: the context supports bounded partial sequence removal\n", __func__);
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res = COMMON_CONTEXT_SEQ_RM_TYPE_RS;
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goto done;
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}
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// try to remove the last tokens
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if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
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LOG_TRC("%s: the context does not support partial sequence removal\n", __func__);
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@@ -1455,6 +1485,23 @@ done:
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return res;
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}
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void common_context_seq_rm(llama_context * ctx, llama_seq_id seq_id, llama_pos p0, llama_pos p1) {
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auto * mem = llama_get_memory(ctx);
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if (!llama_memory_seq_rm(mem, seq_id, p0, p1)) {
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GGML_ABORT("%s", string_format("failed to remove sequence %d with p0=%d, p1=%d\n", seq_id, p0, p1).c_str());
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}
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}
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void common_context_seq_cp(llama_context * ctx, llama_seq_id seq_id_src, llama_seq_id seq_id_dst, llama_pos p0, llama_pos p1) {
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auto * mem = llama_get_memory(ctx);
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llama_memory_seq_cp(mem, seq_id_src, seq_id_dst, p0, p1);
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}
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void common_context_seq_add(llama_context * ctx, llama_seq_id seq_id, llama_pos p0, llama_pos p1, llama_pos delta) {
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auto * mem = llama_get_memory(ctx);
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llama_memory_seq_add(mem, seq_id, p0, p1, delta);
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}
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void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora) {
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std::vector<llama_adapter_lora *> loras;
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std::vector<float> scales;
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@@ -1511,6 +1558,7 @@ struct llama_context_params common_context_params_to_llama(const common_params &
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cparams.n_ctx = params.n_ctx;
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cparams.n_seq_max = params.n_parallel;
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cparams.n_rs_seq = params.speculative.need_n_rs_seq();
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cparams.n_batch = params.n_batch;
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cparams.n_ubatch = params.n_ubatch;
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cparams.n_threads = params.cpuparams.n_threads;
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@@ -2080,3 +2128,11 @@ void common_prompt_checkpoint::load_dft(
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GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", data_dft.size(), n);
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}
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}
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void common_prompt_checkpoint::clear_tgt() {
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data_tgt.clear();
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}
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void common_prompt_checkpoint::clear_dft() {
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data_dft.clear();
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}
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