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feat(llama.cpp): expose cache_type_k and cache_type_v for quant of kv cache (#4329)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2024-12-06 10:23:59 +01:00 committed by GitHub
parent 88737e1d76
commit d4c1746c7d
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4 changed files with 15 additions and 2 deletions
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3
backend/backend.proto
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@ -242,6 +242,9 @@ message ModelOptions {
repeated float LoraScales = 61;
repeated string Options = 62;
string CacheTypeKey = 63;
string CacheTypeValue = 64;
}
message Result {

6
backend/cpp/llama/grpc-server.cpp
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@ -2241,6 +2241,12 @@ static void params_parse(const backend::ModelOptions* request,
}
// params.model_alias ??
params.model_alias = request->modelfile();
if (!request->cachetypekey().empty()) {
params.cache_type_k = request->cachetypekey();
}
if (!request->cachetypevalue().empty()) {
params.cache_type_v = request->cachetypevalue();
}
params.n_ctx = request->contextsize();
//params.memory_f16 = request->f16memory();
params.cpuparams.n_threads = request->threads();

2
core/backend/options.go
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@ -151,6 +151,8 @@ func grpcModelOpts(c config.BackendConfig) *pb.ModelOptions {
TensorParallelSize: int32(c.TensorParallelSize),
MMProj: c.MMProj,
FlashAttention: c.FlashAttention,
CacheTypeKey: c.CacheTypeK,
CacheTypeValue: c.CacheTypeV,
NoKVOffload: c.NoKVOffloading,
YarnExtFactor: c.YarnExtFactor,
YarnAttnFactor: c.YarnAttnFactor,

6
core/config/backend_config.go
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@ -155,8 +155,10 @@ type LLMConfig struct {
TensorParallelSize int `yaml:"tensor_parallel_size"` // vLLM
MMProj string `yaml:"mmproj"`
FlashAttention bool `yaml:"flash_attention"`
NoKVOffloading bool `yaml:"no_kv_offloading"`
FlashAttention bool `yaml:"flash_attention"`
NoKVOffloading bool `yaml:"no_kv_offloading"`
CacheTypeK string `yaml:"cache_type_k"`
CacheTypeV string `yaml:"cache_type_v"`
RopeScaling string `yaml:"rope_scaling"`
ModelType string `yaml:"type"`