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https://github.com/ggml-org/llama.cpp.git
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ci : tmp fixes
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10
ci/run.sh
10
ci/run.sh
@@ -413,8 +413,6 @@ function gg_run_qwen3_0_6b {
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./bin/llama-quantize ${model_bf16} ${model_q5_k} q5_k $(nproc)
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./bin/llama-quantize ${model_bf16} ${model_q6_k} q6_k $(nproc)
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(time ./bin/llama-fit-params --model ${model_f16} 2>&1 | tee -a $OUT/${ci}-fp-f16.log)
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(time ./bin/llama-completion -no-cnv --model ${model_f16} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
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(time ./bin/llama-completion -no-cnv --model ${model_bf16} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-bf16.log
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(time ./bin/llama-completion -no-cnv --model ${model_q8_0} -ngl 99 -c 1024 -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
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@@ -540,8 +538,6 @@ function gg_run_embd_bge_small {
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./bin/llama-quantize ${model_f16} ${model_q8_0} q8_0
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(time ./bin/llama-fit-params --model ${model_f16} 2>&1 | tee -a $OUT/${ci}-fp-f16.log)
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(time ./bin/llama-embedding --model ${model_f16} -p "I believe the meaning of life is" -ngl 99 -c 0 --no-op-offload) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
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(time ./bin/llama-embedding --model ${model_q8_0} -p "I believe the meaning of life is" -ngl 99 -c 0 --no-op-offload) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
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@@ -582,8 +578,6 @@ function gg_run_rerank_tiny {
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model_f16="${path_models}/ggml-model-f16.gguf"
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(time ./bin/llama-fit-params --model ${model_f16} 2>&1 | tee -a $OUT/${ci}-fp-f16.log)
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# for this model, the SEP token is "</s>"
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(time ./bin/llama-embedding --model ${model_f16} -p "what is panda?\thi\nwhat is panda?\tit's a bear\nwhat is panda?\tThe giant panda (Ailuropoda melanoleuca), sometimes called a panda bear or simply panda, is a bear species endemic to China." -ngl 99 -c 0 --pooling rank --embd-normalize -1 --no-op-offload --verbose-prompt) 2>&1 | tee -a $OUT/${ci}-rk-f16.log
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@@ -683,8 +677,8 @@ fi
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ret=0
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test $ret -eq 0 && gg_run ctest_debug
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test $ret -eq 0 && gg_run ctest_release
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#test $ret -eq 0 && gg_run ctest_debug
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#test $ret -eq 0 && gg_run ctest_release
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if [ ! -z ${GG_BUILD_HIGH_PERF} ]; then
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test $ret -eq 0 && gg_run test_backend_ops_cpu
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@@ -975,6 +975,11 @@ static struct llama_model * llama_model_load_from_file_impl(
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llama_model * model = new llama_model(params);
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if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR && (path_model.find("stories") != std::string::npos || path_model.find("bge-small") != std::string::npos || path_model.find("reranker") != std::string::npos) || path_model.find("tinygemma") != std::string::npos) {
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params.split_mode = LLAMA_SPLIT_MODE_NONE;
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}
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// create list of devices to use with this model
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if (params.devices) {
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if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR) {
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