diff --git a/Makefile b/Makefile
index 2ad61559a11d9..9b79f4dae604c 100644
--- a/Makefile
+++ b/Makefile
@@ -160,8 +160,8 @@ ifdef LLAMA_HIPBLAS
 	CC         := $(ROCM_PATH)/llvm/bin/clang
 	CXX        := $(ROCM_PATH)/llvm/bin/clang++
 	GPU_TARGETS = gfx900 gfx906 gfx908 gfx90a gfx1030
-	LLAMA_CUDA_DMMV_X ?= 128
-	LLAMA_CUDA_DMMV_Y ?= 4
+	LLAMA_CUDA_DMMV_X ?= 64
+	LLAMA_CUDA_DMMV_Y ?= 2
 	CFLAGS     += -DGGML_USE_HIPBLAS -DGGML_USE_CUBLAS $(shell $(ROCM_PATH)/bin/hipconfig -C)
 	CXXFLAGS   += -DGGML_USE_HIPBLAS -DGGML_USE_CUBLAS $(shell $(ROCM_PATH)/bin/hipconfig -C)
 	LDFLAGS    += -L/opt/rocm/lib -Wl,-rpath=$(ROCM_PATH)/lib -lhipblas -lamdhip64
diff --git a/expose.h b/expose.h
index fa9c303138831..b74718eb98918 100644
--- a/expose.h
+++ b/expose.h
@@ -8,6 +8,7 @@ struct load_model_inputs
     const int max_context_length;
     const int batch_size;
     const bool f16_kv;
+    const bool low_vram;
     const char * executable_path;
     const char * model_filename;
     const char * lora_filename;
diff --git a/gpttype_adapter.cpp b/gpttype_adapter.cpp
index 2fa3d08e76aa5..864366c729e6b 100644
--- a/gpttype_adapter.cpp
+++ b/gpttype_adapter.cpp
@@ -371,6 +371,7 @@ ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in
         //llama_ctx_paran_parts = -1;
         llama_ctx_params.seed = -1;
         llama_ctx_params.f16_kv = inputs.f16_kv;
+        llama_ctx_params.low_vram = inputs.low_vram;
         llama_ctx_params.logits_all = false;
         llama_ctx_params.use_mmap = inputs.use_mmap;
         llama_ctx_params.use_mlock = inputs.use_mlock;
diff --git a/koboldcpp.py b/koboldcpp.py
index dca7d129ea4d7..6bdd858a1a0e9 100644
--- a/koboldcpp.py
+++ b/koboldcpp.py
@@ -16,6 +16,7 @@ class load_model_inputs(ctypes.Structure):
                 ("max_context_length", ctypes.c_int),
                 ("batch_size", ctypes.c_int),
                 ("f16_kv", ctypes.c_bool),
+                ("low_vram", ctypes.c_bool),
                 ("executable_path", ctypes.c_char_p),
                 ("model_filename", ctypes.c_char_p),
                 ("lora_filename", ctypes.c_char_p),
@@ -150,6 +151,7 @@ def load_model(model_filename):
     inputs.batch_size = 8
     inputs.max_context_length = maxctx #initial value to use for ctx, can be overwritten
     inputs.threads = args.threads
+    inputs.low_vram = args.lowvram
     inputs.blasthreads = args.blasthreads
     inputs.f16_kv = True
     inputs.use_mmap = (not args.nommap)
@@ -646,7 +648,7 @@ def onDropdownChange(event):
         #load all the vars
         args.threads = int(threads_var.get())
         args.gpulayers = int(gpu_layers_var.get())
-
+    
         args.stream = (stream.get()==1)
         args.smartcontext = (smartcontext.get()==1)
         args.launch = (launchbrowser.get()==1)
@@ -861,6 +863,7 @@ def main(args):
     parser.add_argument("--hordeconfig", help="Sets the display model name to something else, for easy use on AI Horde. Optional additional parameters set the horde max genlength and max ctxlen.",metavar=('[hordename]', '[hordelength] [hordectx]'), nargs='+')
     compatgroup = parser.add_mutually_exclusive_group()
     compatgroup.add_argument("--noblas", help="Do not use OpenBLAS for accelerated prompt ingestion", action='store_true')
+    parser.add_argument("--lowvram", help="Do not keep scratch memory in VRAM for CUDA", action='store_true')
     compatgroup.add_argument("--useclblast", help="Use CLBlast instead of OpenBLAS for prompt ingestion. Must specify exactly 2 arguments, platform ID and device ID (e.g. --useclblast 1 0).", type=int, choices=range(0,9), nargs=2)
     parser.add_argument("--gpulayers", help="Set number of layers to offload to GPU when using CLBlast. Requires CLBlast.",metavar=('[GPU layers]'), type=int, default=0)
     args = parser.parse_args()