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Update README.md #2119

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Expand Up @@ -46,7 +46,7 @@ pip install unsloth
For Windows install instructions, see [here](https://docs.unsloth.ai/get-started/installing-+-updating/windows-installation).

## 🦥 Unsloth.ai News
- 📣 NEW! [**EVERYTHING** is now supported](https://unsloth.ai/blog/gemma3#everything) incuding: FFT, ALL models (Mixtral, MOE, Cohere, Mamba) and all training algorithms (KTO, DoRA) etc. MultiGPU support coming very soon.
- 📣 NEW! [**EVERYTHING** is now supported](https://unsloth.ai/blog/gemma3#everything) including: FFT, ALL models (Mixtral, MOE, Cohere, Mamba) and all training algorithms (KTO, DoRA) etc. MultiGPU support coming very soon.
To enable full-finetuning, set ```full_finetuning = True``` and for 8-bit finetuning, set ```load_in_8bit = True```
- 📣 NEW! **Gemma 3** by Google: [Read Blog](https://unsloth.ai/blog/gemma3). We [uploaded GGUFs, 4-bit models](https://huggingface.co/collections/unsloth/phi-4-all-versions-677eecf93784e61afe762afa).
- 📣 NEW! Introducing Long-context [Reasoning (GRPO)](https://unsloth.ai/blog/grpo) in Unsloth. Train your own reasoning model with just 5GB VRAM. Transform Llama, Phi, Mistral etc. into reasoning LLMs!
Expand Down Expand Up @@ -80,7 +80,7 @@ For Windows install instructions, see [here](https://docs.unsloth.ai/get-started
| <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)|

## ⭐ Key Features
- Supports **full-finetuning**, pretraining, 4b-bit, 16-bit and **8-bit** training
- Supports **full-finetuning**, pretraining, 4-bit, 16-bit and **8-bit** training
- 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.
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