diff --git a/README.md b/README.md
index bc5d603e0..63c356861 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models
 - Includes multiple modes (chat, adventure, instruct, storywriter) and UI Themes (aesthetic roleplay, classic writer, corporate assistant, messsenger)
 - Supports loading Tavern Character Cards, importing many different data formats from various sites, reading or exporting JSON savefiles and persistent stories.
 - Many other features including new samplers, regex support, websearch, RAG via TextDB and more.
-- Ready-to-use binaries for Windows, MacOS, Linux, Android (via Termux), Colab, Docker, also supports other platforms if self-compiled (like Raspberry PI).
+- Ready-to-use binaries for Windows, MacOS, Linux. Runs directly with Colab, Docker, also supports other platforms if self-compiled (like  Android (via Termux) and Raspberry PI).
 - [Need help finding a model? Read this!](https://github.com/LostRuins/koboldcpp/wiki#getting-an-ai-model-file)
 
 ## Windows Usage (Precompiled Binary, Recommended)
@@ -31,7 +31,7 @@ KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models
 - You can also run it using the command line. For info, please check `koboldcpp.exe --help`
 
 ## Linux Usage (Precompiled Binary, Recommended)
-On modern Linux systems, you should download the `koboldcpp-linux-x64-cuda1150` prebuilt PyInstaller binary on the **[releases page](https://github.com/LostRuins/koboldcpp/releases/latest)**. Simply download and run the binary (You may have to `chmod +x` it first).
+On modern Linux systems, you should download the `koboldcpp-linux-x64-cuda1150` prebuilt PyInstaller binary for greatest compatibility on the **[releases page](https://github.com/LostRuins/koboldcpp/releases/latest)**. Simply download and run the binary (You may have to `chmod +x` it first). If you have a newer device, you can also try the `koboldcpp-linux-x64-cuda1210` instead for better speeds.
 
 Alternatively, you can also install koboldcpp to the current directory by running the following terminal command:
 ```
diff --git a/koboldcpp.py b/koboldcpp.py
index 9bbfc1f76..3506e1b27 100644
--- a/koboldcpp.py
+++ b/koboldcpp.py
@@ -978,7 +978,6 @@ def fetch_gpu_properties(testCL,testCU,testVK):
         FetchedCUdevices = []
         FetchedCUdeviceMem = []
         FetchedCUfreeMem = []
-        faileddetectvram = False
 
         AMDgpu = None
         try: # Get NVIDIA GPU names
@@ -989,7 +988,6 @@ def fetch_gpu_properties(testCL,testCU,testVK):
         except Exception:
             FetchedCUdeviceMem = []
             FetchedCUfreeMem = []
-            faileddetectvram = True
             pass
         if len(FetchedCUdevices)==0:
             try: # Get AMD ROCm GPU names
@@ -1011,7 +1009,6 @@ def fetch_gpu_properties(testCL,testCU,testVK):
             except Exception:
                 FetchedCUdeviceMem = []
                 FetchedCUfreeMem = []
-                faileddetectvram = True
                 pass
         lowestcumem = 0
         lowestfreecumem = 0
@@ -1030,14 +1027,13 @@ def fetch_gpu_properties(testCL,testCU,testVK):
         except Exception:
             lowestcumem = 0
             lowestfreecumem = 0
-            faileddetectvram = True
-
-        if faileddetectvram:
-            print("Unable to detect VRAM, please set layers manually.")
 
         MaxMemory[0] = max(lowestcumem,MaxMemory[0])
         MaxFreeMemory[0] = max(lowestfreecumem,MaxFreeMemory[0])
 
+        if MaxMemory[0] < (1024*1024*256):
+            print("Unable to detect VRAM, please set layers manually.")
+
     if testVK:
         try: # Get Vulkan names
             foundVkGPU = False