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-rw-r--r--examples/common.h17
1 files changed, 9 insertions, 8 deletions
diff --git a/examples/common.h b/examples/common.h
index 6fedb41..6c2953c 100644
--- a/examples/common.h
+++ b/examples/common.h
@@ -21,15 +21,16 @@
int32_t get_num_physical_cores();
struct gpt_params {
- int32_t seed = -1; // RNG seed
- int32_t n_threads = get_num_physical_cores();
- int32_t n_predict = -1; // new tokens to predict
- int32_t n_ctx = 512; // context size
- int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS)
- int32_t n_keep = 0; // number of tokens to keep from initial prompt
- int32_t n_gpu_layers = 0; // number of layers to store in VRAM
- int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
+ int32_t seed = -1; // RNG seed
+ int32_t n_threads = get_num_physical_cores();
+ int32_t n_predict = -1; // new tokens to predict
+ int32_t n_ctx = 512; // context size
+ int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS)
+ int32_t n_keep = 0; // number of tokens to keep from initial prompt
+ int32_t n_gpu_layers = 0; // number of layers to store in VRAM
+ int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
+ bool low_vram = 0; // if true, reduce VRAM usage at the cost of performance
// sampling parameters
std::unordered_map<llama_token, float> logit_bias; // logit bias for specific tokens