diff --git a/README.md b/README.md
index 24850bb974..4b5f0cb480 100644
--- a/README.md
+++ b/README.md
@@ -6,9 +6,9 @@
     <img alt="unsloth logo" src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20logo%20black%20text.png" height="110" style="max-width: 100%;">
   </picture></a>
   
-<a href="https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-Alpaca.ipynb"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/start free finetune button.png" height="48"></a>
-<a href="https://discord.com/invite/unsloth"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord button.png" height="48"></a>
-<a href="https://docs.unsloth.ai"><img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/Documentation%20Button.png" height="48"></a>
+<a href="https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-Alpaca.ipynb"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/start free finetune button.png" width="154"></a>
+<a href="https://discord.com/invite/unsloth"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord button.png" width="165"></a>
+<a href="https://docs.unsloth.ai"><img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/Documentation%20Button.png" width="137"></a>
 
 ### Finetune Gemma 3n, Qwen3, Llama 4, Phi-4 & Mistral 2x faster with 80% less VRAM!
 
@@ -70,11 +70,11 @@ For Windows install instructions, see [here](https://docs.unsloth.ai/get-started
 | Type                            | Links                               |
 | ------------------------------- | --------------------------------------- |
 | 📚 **Documentation & Wiki**              | [Read Our Docs](https://docs.unsloth.ai) |
-| <img height="14" src="https://upload.wikimedia.org/wikipedia/commons/6/6f/Logo_of_Twitter.svg" />&nbsp; **Twitter (aka X)**              |  [Follow us on X](https://twitter.com/unslothai)|
+| <img width="16" src="https://upload.wikimedia.org/wikipedia/commons/6/6f/Logo_of_Twitter.svg" />&nbsp; **Twitter (aka X)**              |  [Follow us on X](https://twitter.com/unslothai)|
 | 💾 **Installation**               | [Pip install](https://docs.unsloth.ai/get-started/installing-+-updating)|
 | 🔮 **Our Models**            | [Unsloth Releases](https://docs.unsloth.ai/get-started/all-our-models)|
 | ✍️ **Blog**                    | [Read our Blogs](https://unsloth.ai/blog)|
-| <img height="14" src="https://redditinc.com/hs-fs/hubfs/Reddit%20Inc/Brand/Reddit_Logo.png" />&nbsp; **Reddit**                    | [Join our Reddit page](https://reddit.com/r/unsloth)|
+| <img width="15" src="https://redditinc.com/hs-fs/hubfs/Reddit%20Inc/Brand/Reddit_Logo.png" />&nbsp; **Reddit**                    | [Join our Reddit](https://reddit.com/r/unsloth)|
 
 ## ⭐ Key Features
 - Supports **full-finetuning**, pretraining, 4b-bit, 16-bit and **8-bit** training
@@ -83,7 +83,7 @@ For Windows install instructions, see [here](https://docs.unsloth.ai/get-started
 - **0% loss in accuracy** - no approximation methods - all exact.
 - No change of hardware. Supports NVIDIA GPUs since 2018+. Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20, 30, 40x, A100, H100, L40 etc) [Check your GPU!](https://developer.nvidia.com/cuda-gpus) GTX 1070, 1080 works, but is slow.
 - Works on **Linux** and **Windows**
-- If you trained a model with 🦥Unsloth, you can use this cool sticker! &nbsp; <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/made with unsloth.png" height="50" align="center" />
+- If you trained a model with 🦥Unsloth, you can use this cool sticker! &nbsp; <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/made with unsloth.png" width="200" align="center" />
 
 ## 💾 Install Unsloth
 You can also see our documentation for more detailed installation and updating instructions [here](https://docs.unsloth.ai/get-started/installing-+-updating).
diff --git a/blackwell/README.md b/blackwell/README.md
index 84dfdc84d3..1e4bd50104 100644
--- a/blackwell/README.md
+++ b/blackwell/README.md
@@ -1,5 +1,7 @@
 # Unsloth Blackwell Compatibility
 
+For RTX 5060, RTX 5070, RTX 5080, RTX 5090 GPUs and also B200, B40, GB100, GB102, GB20* and GPUs listed in https://en.wikipedia.org/wiki/Blackwell_(microarchitecture)
+
 ## Overview
 
 `Blackwell` (`sm100+`) requires all dependent libraries to be compiled with `cuda 12.8`.
diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index d0ff413925..7d56dac2ec 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -152,12 +152,13 @@ def _fast_prepare_inputs_for_generation(self, input_ids, attention_mask=None, **
                 )
             else:
                 attention_mask = attention_mask[:,[-1]]
-                logger.warning_once(
-                    f"{self.__class__.__name__} has no `_prepare_4d_causal_attention_mask_with_cache_position` method "
-                    "defined in its base modeling class. Compiled forward passes will be sub-optimal. If you're "
-                    "writing code, see Llama for an example implementation. If you're a user, please report this "
-                    "issue on GitHub."
-                )
+                if transformers_version <= Version("4.52.4"):
+                    logger.warning_once(
+                        f"{self.__class__.__name__} has no `_prepare_4d_causal_attention_mask_with_cache_position` method "
+                        "defined in its base modeling class. Compiled forward passes will be sub-optimal. If you're "
+                        "writing code, see Llama for an example implementation. If you're a user, please report this "
+                        "issue on GitHub."
+                    )
 
     if "cache_position" in kwargs:
         kwargs["position_ids"] = kwargs["cache_position"]