diff --git a/Makefile b/Makefile
index 817310e..6a3b5c0 100644
--- a/Makefile
+++ b/Makefile
@@ -100,8 +100,8 @@ cpuonly: $(BUILD_DIR) env
 
 
 HIP_INCLUDE := -I $(ROOT_DIR)/csrc -I $(ROOT_DIR)/include 
-# -I /opt/rocm-5.3.0/hipcub/include
-HIP_LIB := -L/opt/rocm-5.3.0/lib -L/opt/rocm-5.3.0/llvm/bin/../lib/clang/15.0.0/lib/linux -L/usr/lib/gcc/x86_64-linux-gnu/11 -L/usr/lib/gcc/x86_64-linux-gnu/11/../../../../lib64 -L/lib/x86_64-linux-gnu -L/lib/../lib64 -L/usr/lib/x86_64-linux-gnu -L/usr/lib/../lib64 -L/lib -L/usr/lib -lgcc_s -lgcc -lpthread -lm -lrt -lamdhip64 -lhipblas -lhipsparse -lclang_rt.builtins-x86_64 -lstdc++ -lm -lgcc_s -lgcc -lc -lgcc_s -lgcc
+# -I /opt/rocm/hipcub/include
+HIP_LIB := -L/opt/rocm/lib -L/opt/rocm/llvm/bin/../lib/clang/15.0.0/lib/linux -L/usr/lib/gcc/x86_64-linux-gnu/11 -L/usr/lib/gcc/x86_64-linux-gnu/11/../../../../lib64 -L/lib/x86_64-linux-gnu -L/lib/../lib64 -L/usr/lib/x86_64-linux-gnu -L/usr/lib/../lib64 -L/lib -L/usr/lib -lgcc_s -lgcc -lpthread -lm -lrt -lamdhip64 -lhipblas -lhipsparse -lclang_rt.builtins-x86_64 -lstdc++ -lm -lgcc_s -lgcc -lc -lgcc_s -lgcc
 
 hip: $(BUILD_DIR)
 	/usr/bin/hipcc -std=c++14 -c -fPIC --amdgpu-target=gfx1030 $(HIP_INCLUDE) -o $(BUILD_DIR)/ops.o -D NO_CUBLASLT $(CSRC)/ops.cu
diff --git a/README.md b/README.md
index 7d35a80..0a5596a 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# bitsandbytes
+# bitsandbytes-rocm
 
 The bitsandbytes is a lightweight wrapper around CUDA custom functions, in particular 8-bit optimizers, matrix multiplication (LLM.int8()), and quantization functions. 
 
@@ -12,8 +12,17 @@ Resources:
 ## TL;DR
 **Requirements**
 Linux distribution (Ubuntu, MacOS, etc.) + CUDA >= 10.0. LLM.int8() requires Turing or Ampere GPUs.
-**Installation**:
-``pip install bitsandbytes``
+
+**Compilation quickstart:**
+
+The HIP version does not provide binary release so that you need to compile from source. If this happens please consider submitting a bug report with python -m bitsandbytes information.
+
+```shell
+git clone https://github.com/xxx/bitsandbytes.git
+cd bitsandbytes
+make hip
+CUDA_VERSION=gfx1035 python setup.py install
+```
 
 **Using 8-bit optimizer**:
 1. Comment out optimizer: ``#torch.optim.Adam(....)``