fix: load draft model first

This commit is contained in:
DeEMO 2025-06-27 06:30:57 +00:00
parent 0cdf99828c
commit 5b4a63abb8

View file

@ -700,6 +700,40 @@ struct server_context {
// dedicate one sequence to the system prompt
params.n_parallel += 1;
// load draft model first
llama_init_result llama_init_dft;
if (!params.speculative.model.empty()) {
SRV_INF("loading draft model '%s'\n", params.speculative.model.c_str());
auto params_dft = params;
params_dft.model = params.speculative.model;
params_dft.n_ctx = params.speculative.n_ctx;
params_dft.n_gpu_layers = params.speculative.n_gpu_layers;
params_dft.use_mlock = true;
params_dft.n_world = 1; // do not split the draft model across devicesAdd commentMore actions
params_dft.rank = 0; // always load the draft model on the head device
std::fill_n(params_dft.n_layer_window, params.n_world, 0);
llama_init_dft = llama_init_from_gpt_params(params_dft);
model_dft = llama_init_dft.model;
if (model_dft == nullptr) {
SRV_ERR("failed to load draft model, '%s'\n", params.speculative.model.c_str());
return false;
}
cparams_dft = llama_context_params_from_gpt_params(params);
cparams_dft.n_batch = llama_n_ctx(llama_init_dft.context);
cparams_dft.n_world = 1;
cparams_dft.rank = 0;
std::fill_n(cparams_dft.n_layer_window, 32, 0);
cparams_dft.n_layer_window[0] = llama_n_layer(model_dft);
cparams_dft.n_gpu_layers = params.speculative.n_gpu_layers;
}
llama_init_result llama_init = llama_init_from_gpt_params(params);
@ -719,29 +753,7 @@ struct server_context {
add_bos_token = llama_add_bos_token(model);
has_eos_token = !llama_add_eos_token(model);
if (!params.speculative.model.empty()) {
SRV_INF("loading draft model '%s'\n", params.speculative.model.c_str());
auto params_dft = params;
params_dft.model = params.speculative.model;
params_dft.n_ctx = params.speculative.n_ctx;
params_dft.n_gpu_layers = params.speculative.n_gpu_layers;
params_dft.use_mlock = true;
params_dft.n_world = 1; // do not split the draft model across devicesAdd commentMore actions
params_dft.rank = 0; // always load the draft model on the head device
std::fill_n(params_dft.n_layer_window, params.n_world, 0);
llama_init_result llama_init_dft = llama_init_from_gpt_params(params_dft);
model_dft = llama_init_dft.model;
if (model_dft == nullptr) {
SRV_ERR("failed to load draft model, '%s'\n", params.speculative.model.c_str());
return false;
}
if (!params.speculative.model.empty()){
if (!common_speculative_are_compatible(ctx, llama_init_dft.context)) {
SRV_ERR("the draft model '%s' is not compatible with the target model '%s'\n", params.speculative.model.c_str(), params.model.c_str());
@ -750,14 +762,6 @@ struct server_context {
return false;
}
cparams_dft = llama_context_params_from_gpt_params(params);
cparams_dft.n_batch = llama_n_ctx(llama_init_dft.context);
cparams_dft.n_world = 1;
cparams_dft.rank = 0;
std::fill_n(cparams_dft.n_layer_window, 32, 0);
cparams_dft.n_layer_window[0] = llama_n_layer(model_dft);
cparams_dft.n_gpu_layers = params.speculative.n_gpu_layers;
// the context is not needed - we will create one for each slot
llama_free(llama_init_dft.context);