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Merge branch 'upstream' into concedo_experimental
# Conflicts: # docs/build.md # docs/function-calling.md # examples/eval-callback/eval-callback.cpp # ggml/CMakeLists.txt # ggml/src/ggml-cann/ggml-cann.cpp # ggml/src/ggml-cpu/CMakeLists.txt # ggml/src/ggml-cpu/kleidiai/kernels.cpp # ggml/src/ggml-cpu/kleidiai/kernels.h # ggml/src/ggml-cpu/kleidiai/kleidiai.cpp # scripts/compare-llama-bench.py # scripts/server-bench.py # scripts/tool_bench.py # tests/test-chat.cpp # tools/batched-bench/batched-bench.cpp # tools/llama-bench/llama-bench.cpp # tools/server/README.md
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+12
-18
@@ -1547,10 +1547,18 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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}
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).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_RETRIEVAL}));
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add_opt(common_arg(
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{"-fa", "--flash-attn"},
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string_format("enable Flash Attention (default: %s)", params.flash_attn ? "enabled" : "disabled"),
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[](common_params & params) {
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params.flash_attn = true;
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{"-fa", "--flash-attn"}, "FA",
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string_format("set Flash Attention use ('on', 'off', or 'auto', default: '%s')", llama_flash_attn_type_name(params.flash_attn_type)),
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[](common_params & params, const std::string & value) {
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if (value == "on" || value == "enabled") {
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params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_ENABLED;
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} else if (value == "off" || value == "disabled") {
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params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_DISABLED;
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} else if (value == "auto") {
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params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_AUTO;
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} else {
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throw std::runtime_error(string_format("error: unkown value for --flash-attn: '%s'\n", value.c_str()));
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}
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}
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).set_env("LLAMA_ARG_FLASH_ATTN"));
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add_opt(common_arg(
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@@ -3461,8 +3469,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.model.hf_repo = "ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF";
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params.model.hf_file = "qwen2.5-coder-1.5b-q8_0.gguf";
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params.port = 8012;
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params.n_gpu_layers = 99;
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params.flash_attn = true;
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params.n_ubatch = 1024;
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params.n_batch = 1024;
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params.n_ctx = 0;
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@@ -3477,8 +3483,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.model.hf_repo = "ggml-org/Qwen2.5-Coder-3B-Q8_0-GGUF";
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params.model.hf_file = "qwen2.5-coder-3b-q8_0.gguf";
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params.port = 8012;
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params.n_gpu_layers = 99;
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params.flash_attn = true;
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params.n_ubatch = 1024;
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params.n_batch = 1024;
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params.n_ctx = 0;
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@@ -3493,8 +3497,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.model.hf_repo = "ggml-org/Qwen2.5-Coder-7B-Q8_0-GGUF";
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params.model.hf_file = "qwen2.5-coder-7b-q8_0.gguf";
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params.port = 8012;
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params.n_gpu_layers = 99;
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params.flash_attn = true;
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params.n_ubatch = 1024;
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params.n_batch = 1024;
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params.n_ctx = 0;
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@@ -3510,10 +3512,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.model.hf_file = "qwen2.5-coder-7b-q8_0.gguf";
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params.speculative.model.hf_repo = "ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF";
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params.speculative.model.hf_file = "qwen2.5-coder-0.5b-q8_0.gguf";
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params.speculative.n_gpu_layers = 99;
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params.port = 8012;
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params.n_gpu_layers = 99;
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params.flash_attn = true;
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params.n_ubatch = 1024;
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params.n_batch = 1024;
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params.n_ctx = 0;
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@@ -3529,10 +3528,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.model.hf_file = "qwen2.5-coder-14b-q8_0.gguf";
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params.speculative.model.hf_repo = "ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF";
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params.speculative.model.hf_file = "qwen2.5-coder-0.5b-q8_0.gguf";
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params.speculative.n_gpu_layers = 99;
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params.port = 8012;
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params.n_gpu_layers = 99;
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params.flash_attn = true;
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params.n_ubatch = 1024;
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params.n_batch = 1024;
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params.n_ctx = 0;
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@@ -3547,8 +3543,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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params.model.hf_repo = "ggml-org/Qwen3-Coder-30B-A3B-Instruct-Q8_0-GGUF";
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params.model.hf_file = "qwen3-coder-30b-a3b-instruct-q8_0.gguf";
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params.port = 8012;
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params.n_gpu_layers = 99;
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params.flash_attn = true;
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params.n_ubatch = 1024;
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params.n_batch = 1024;
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params.n_ctx = 0;
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