Update README.md

Fresh upate

README.md

@@ -10,7 +10,7 @@
 <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 gpt-oss, Gemma 3n, Qwen3, Llama 4, & Mistral 2x faster with 80% less VRAM!
+### Finetune gpt-oss, DeepSeek, Gemma, Qwen, Llama & Mistral 2x faster with 70% less VRAM!
 
 ![](https://i.ibb.co/sJ7RhGG/image-41.png)
 
@@ -34,7 +34,7 @@ Notebooks are beginner friendly. Read our [guide](https://docs.unsloth.ai/get-st
 | **Orpheus-TTS (3B)**     | [▶️ Start for free](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Orpheus_(3B)-TTS.ipynb)               | 1.5x faster | 50% less |
 
 - See all our notebooks for: [Kaggle](https://github.com/unslothai/notebooks?tab=readme-ov-file#-kaggle-notebooks), [GRPO](https://docs.unsloth.ai/get-started/unsloth-notebooks#grpo-reasoning-rl-notebooks), **[TTS](https://docs.unsloth.ai/get-started/unsloth-notebooks#text-to-speech-tts-notebooks)** & [Vision](https://docs.unsloth.ai/get-started/unsloth-notebooks#vision-multimodal-notebooks)
-- See [all our models](https://docs.unsloth.ai/get-started/all-our-models) and [all our notebooks](https://github.com/unslothai/notebooks)
+- See [all our models](https://docs.unsloth.ai/get-started/all-our-models) and [all our notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks)
 - See detailed documentation for Unsloth [here](https://docs.unsloth.ai/)
 
 ## ⚡ Quickstart
@@ -50,14 +50,15 @@ Use our official [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth
 For RTX 50x, B200, 6000 GPUs, simply do `pip install unsloth`. Read our [Blackwell Guide](https://docs.unsloth.ai/basics/training-llms-with-blackwell-rtx-50-series-and-unsloth) for more details.
 
 ## 🦥 Unsloth.ai News
-- 📣 **Vision RL** You can now train VLMs with GRPO or GSPO in Unsloth! [Read guide](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl)
-- 📣 **Memory-efficient RL** We're introducing even better RL. Our new kernels & algos allows faster RL with 50% less VRAM & 10× more context. [Read blog](https://docs.unsloth.ai/new/memory-efficient-rl)
+- 📣 **gpt-oss RL**: Introducing the fastest possible inference for gpt-oss RL! [Read blog](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl)
+- 📣 **Vision RL**: You can now train VLMs with GRPO or GSPO in Unsloth! [Read guide](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl)
+- 📣 **Memory-efficient RL**: We're introducing even better RL. Our new kernels & algos allows faster RL with 50% less VRAM & 10× more context. [Read blog](https://docs.unsloth.ai/new/memory-efficient-rl)
 - 📣 **gpt-oss** by OpenAI: For details on [Unsloth Flex Attention](https://docs.unsloth.ai/new/long-context-gpt-oss-training), long-context training, bug fixes, [Read our Guide](https://docs.unsloth.ai/basics/gpt-oss). 20B works on a 14GB GPU and 120B on 65GB VRAM. [gpt-oss uploads](https://huggingface.co/collections/unsloth/gpt-oss-6892433695ce0dee42f31681).
 - 📣 **Gemma 3n** by Google: [Read Blog](https://docs.unsloth.ai/basics/gemma-3n-how-to-run-and-fine-tune). We [uploaded GGUFs, 4-bit models](https://huggingface.co/collections/unsloth/gemma-3n-685d3874830e49e1c93f9339).
 - 📣 **[Text-to-Speech (TTS)](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning)** is now supported, including `sesame/csm-1b` and STT `openai/whisper-large-v3`.
 - 📣 **[Qwen3](https://docs.unsloth.ai/basics/qwen3-how-to-run-and-fine-tune)** is now supported. Qwen3-30B-A3B fits on 17.5GB VRAM.
 - 📣 Introducing **[Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs)** quants that set new benchmarks on 5-shot MMLU & KL Divergence.
-- 📣 [**EVERYTHING** is now supported](https://unsloth.ai/blog/gemma3#everything) - all models (BERT, diffusion, Cohere, Mamba), FFT, etc. MultiGPU coming soon. Enable FFT with `full_finetuning = True`, 8-bit with `load_in_8bit = True`.
+- 📣 [**EVERYTHING** is now supported](https://unsloth.ai/blog/gemma3#everything) - all models (BERT, diffusion, Cohere, Mamba), FFT, etc. [MultiGPU](https://docs.unsloth.ai/basics/multi-gpu-training-with-unsloth) coming soon. Enable FFT with `full_finetuning = True`, 8-bit with `load_in_8bit = True`.
 
 <details>
   <summary>Click for more news</summary>
@@ -88,7 +89,8 @@ For RTX 50x, B200, 6000 GPUs, simply do `pip install unsloth`. Read our [Blackwe
 
 ## ⭐ Key Features
 - Supports **full-finetuning**, pretraining, 4b-bit, 16-bit and **8-bit** training
-- Supports **all transformer-style models** including [TTS, STT](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), multimodal, diffusion, [BERT](https://docs.unsloth.ai/get-started/unsloth-notebooks#other-important-notebooks) and more!
+- Supports **all models** including [TTS, STT](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), multimodal, [BERT](https://docs.unsloth.ai/get-started/unsloth-notebooks#other-important-notebooks) and more! Any model that works in transformers, works in Unsloth!
+- Supports training of all Reinforcement Learning (RL) including GRPO, GSPO etc.
 - All kernels written in [OpenAI's Triton](https://openai.com/index/triton/) language. **Manual backprop engine**.
 - **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.