Sync README with upstream

README.md

@@ -6,42 +6,9 @@ The `bitsandbytes` library is a lightweight Python wrapper around CUDA custom fu
 
 The library includes quantization primitives for 8-bit & 4-bit operations, through `bitsandbytes.nn.Linear8bitLt` and `bitsandbytes.nn.Linear4bit` and 8-bit optimizers through `bitsandbytes.optim` module.
 
-**Installation for ROCm:**
-
-To install develop version:
-```bash
-git clone --recurse https://github.com/ROCm/bitsandbytes
-cd bitsandbytes
-git checkout rocm_enabled
-pip install -r requirements-dev.txt
-cmake -DCOMPUTE_BACKEND=hip -S . (Use -DBNB_ROCM_ARCH="gfx90a;gfx942" to target specific gpu arch)
-make
-pip install .
-```
-
-For ROCm specific versions:
-
-Install Dependencies:
-```bash
-# hipblaslt installation needed only for rocm<6.0
-apt install hipblaslt
-pip install --upgrade pip
-pip install einops lion_pytorch accelerate
-pip install git+https://github.com/ROCm/transformers.git
-```
-Install Bitsandbytes:
-```bash
-git clone --recurse https://github.com/ROCm/bitsandbytes
-cd bitsandbytes
-# Checkout branch as needed
-# for rocm 5.7 - rocm5.7_internal_testing
-# for rocm 6.x - rocm6.2_internal_testing
-git checkout <branch>
-make hip
-python setup.py install
-```
-
-**For more details, please head to the official documentation page:**
+There are ongoing efforts to support further hardware backends, i.e. Intel CPU + GPU, AMD GPU, Apple Silicon. Windows support is quite far along and is on its way as well.
+
+**Please head to the official documentation page:**
 
 **[https://huggingface.co/docs/bitsandbytes/main](https://huggingface.co/docs/bitsandbytes/main)**