From db3fa4776fc7144dd87176a99a636e28a7ce0042 Mon Sep 17 00:00:00 2001 From: Michael Han <107991372+shimmyshimmer@users.noreply.github.com> Date: Sun, 12 Oct 2025 05:32:42 -0700 Subject: [PATCH] Update README.md --- README.md | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index baa5e07126..89aac8af73 100644 --- a/README.md +++ b/README.md @@ -46,7 +46,7 @@ pip install unsloth For Windows, `pip install unsloth` works only if you have Pytorch installed. Read our [Windows Guide](https://docs.unsloth.ai/get-started/installing-+-updating/windows-installation). ### Docker Use our official [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth) ```unsloth/unsloth``` container. Read our [Docker Guide](https://docs.unsloth.ai/get-started/install-and-update/docker). -### Blackwell +### Blackwell & DGX Spark 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. ## ๐Ÿฆฅ Unsloth.ai News @@ -80,21 +80,21 @@ For RTX 50x, B200, 6000 GPUs, simply do `pip install unsloth`. Read our [Blackwe ## ๐Ÿ”— Links and Resources | Type | Links | | ------------------------------- | --------------------------------------- | +|   **r/unsloth Reddit** | [Join Reddit community](https://reddit.com/r/unsloth)| | ๐Ÿ“š **Documentation & Wiki** | [Read Our Docs](https://docs.unsloth.ai) | |   **Twitter (aka X)** | [Follow us on X](https://twitter.com/unslothai)| -| ๐Ÿ’พ **Installation** | [Pip install](https://docs.unsloth.ai/get-started/installing-+-updating)| -| ๐Ÿ”ฎ **Our Models** | [Unsloth Releases](https://docs.unsloth.ai/get-started/all-our-models)| +| ๐Ÿ’พ **Installation** | [Pip & Docker Install](https://docs.unsloth.ai/get-started/installing-+-updating)| +| ๐Ÿ”ฎ **Our Models** | [Unsloth Catalog](https://docs.unsloth.ai/get-started/all-our-models)| | โœ๏ธ **Blog** | [Read our Blogs](https://unsloth.ai/blog)| -|   **Reddit** | [Join our Reddit](https://reddit.com/r/unsloth)| ## โญ Key Features - Supports **full-finetuning**, pretraining, 4b-bit, 16-bit and **8-bit** training - Supports **all models** including [TTS](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. - The most efficient library for [Reinforcement Learning (RL)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide), using 80% less VRAM. Supports GRPO, GSPO, DrGRPO, DAPO etc. - **0% loss in accuracy** - no approximation methods - all exact. -- All kernels written in [OpenAI's Triton](https://openai.com/index/triton/) language. Manual backprop engine. -- Supports NVIDIA (since 2018), AMD and Intel GPUs. Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20, 30, 40x, A100, H100, L40 etc) +- Supports NVIDIA (since 2018), AMD and Intel GPUs and DGX Spark. Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20, 30, 40x, A100, H100, L40 etc) - Works on **Linux**, WSL and **Windows** +- All kernels written in [OpenAI's Triton](https://openai.com/index/triton/) language. Manual backprop engine. - If you trained a model with ๐ŸฆฅUnsloth, you can use this cool sticker!   ## ๐Ÿ’พ Install Unsloth @@ -351,8 +351,10 @@ trainer.train() ## ๐Ÿ’ก Reinforcement Learning -RL including GRPO, GSPO, DrGRPO, DAPO, PPO, Reward Modelling, Online DPO all work with Unsloth. List of RL notebooks: +[RL](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) including [GRPO](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#training-with-grpo), [GSPO](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/gspo-reinforcement-learning), DrGRPO, DAPO, PPO, Reward Modelling, Online DPO all work with Unsloth. +Read our [Reinforcement Learning Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or our [advanced RL docs](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation) for batching, generation & training parameters. +List of RL notebooks: - gpt-oss GSPO notebook: [Link](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-(20B)-GRPO.ipynb) - Qwen2.5-VL GSPO notebook: [Link](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_GRPO.ipynb) - Advanced Qwen3 GRPO notebook: [Link](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_(4B)-GRPO.ipynb)