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chore(deps): bump llama-cpp to 8f275a7c4593aa34147595a90282cf950a853690 (#4016)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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2
Makefile
2
Makefile
@ -8,7 +8,7 @@ DETECT_LIBS?=true
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# llama.cpp versions
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GOLLAMA_REPO?=https://github.com/go-skynet/go-llama.cpp
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GOLLAMA_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
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CPPLLAMA_VERSION?=61715d5cc83a28181df6a641846e4f6a740f3c74
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CPPLLAMA_VERSION?=8f275a7c4593aa34147595a90282cf950a853690
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# go-rwkv version
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RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
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@ -670,7 +670,6 @@ struct llama_server_context
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slot->sparams.top_k = json_value(data, "top_k", default_sparams.top_k);
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slot->sparams.top_p = json_value(data, "top_p", default_sparams.top_p);
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slot->sparams.min_p = json_value(data, "min_p", default_sparams.min_p);
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slot->sparams.tfs_z = json_value(data, "tfs_z", default_sparams.tfs_z);
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slot->sparams.typ_p = json_value(data, "typical_p", default_sparams.typ_p);
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slot->sparams.temp = json_value(data, "temperature", default_sparams.temp);
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slot->sparams.dynatemp_range = json_value(data, "dynatemp_range", default_sparams.dynatemp_range);
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@ -1206,7 +1205,6 @@ struct llama_server_context
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{"top_k", slot.sparams.top_k},
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{"top_p", slot.sparams.top_p},
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{"min_p", slot.sparams.min_p},
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{"tfs_z", slot.sparams.tfs_z},
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{"typical_p", slot.sparams.typ_p},
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{"repeat_last_n", slot.sparams.penalty_last_n},
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{"repeat_penalty", slot.sparams.penalty_repeat},
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@ -2105,7 +2103,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
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// slot->params.n_predict = json_value(data, "n_predict", default_params.n_predict);
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// slot->sparams.top_k = json_value(data, "top_k", default_sparams.top_k);
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// slot->sparams.top_p = json_value(data, "top_p", default_sparams.top_p);
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// slot->sparams.tfs_z = json_value(data, "tfs_z", default_sparams.tfs_z);
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// slot->sparams.typical_p = json_value(data, "typical_p", default_sparams.typical_p);
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// slot->sparams.temp = json_value(data, "temperature", default_sparams.temp);
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// slot->sparams.penalty_last_n = json_value(data, "repeat_last_n", default_sparams.penalty_last_n);
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@ -2129,7 +2126,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
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data["n_predict"] = predict->tokens() == 0 ? -1 : predict->tokens();
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data["top_k"] = predict->topk();
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data["top_p"] = predict->topp();
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data["tfs_z"] = predict->tailfreesamplingz();
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data["typical_p"] = predict->typicalp();
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data["temperature"] = predict->temperature();
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data["repeat_last_n"] = predict->repeat();
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@ -2176,7 +2172,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
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// llama.params.n_predict = predict->tokens() == 0 ? -1 : predict->tokens();
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// llama.params.sparams.top_k = predict->topk();
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// llama.params.sparams.top_p = predict->topp();
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// llama.params.sparams.tfs_z = predict->tailfreesamplingz();
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// llama.params.sparams.typical_p = predict->typicalp();
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// llama.params.sparams.penalty_last_n = predict->repeat();
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// llama.params.sparams.temp = predict->temperature();
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