Vision (#1318)

* Add files via upload * Add files via upload * Add files via upload * Add files via upload * Update README.md * Update README.md * Update README.md * Update README.md --------- Co-authored-by: Michael <107991372+shimmyshimmer@users.noreply.github.com>
2024-11-21 11:24:12 -08:00 · 2024-11-21 11:24:12 -08:00 · 6d34ab821b
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 <a href="https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/start free finetune button.png" height="48"></a>
 <a href="https://discord.gg/unsloth"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord button.png" height="48"></a>
-<a href="https://ko-fi.com/unsloth"><img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy me a coffee 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>

-### Finetune Llama 3.2, Mistral, Phi-3.5 & Gemma 2-5x faster with 80% less memory!
+### Finetune Llama 3.2, Mistral, Phi-3.5, Qwen 2.5 & Gemma 2-5x faster with 80% less memory!

 ![](https://i.ibb.co/sJ7RhGG/image-41.png)

@ -23,43 +23,37 @@ All notebooks are **beginner friendly**! Add your dataset, click "Run All", and
 | Unsloth supports | Free Notebooks | Performance | Memory use |
 |-----------|---------|--------|----------|
 | **Llama 3.2 (3B)**      | [▶️ Start for free](https://colab.research.google.com/drive/1T5-zKWM_5OD21QHwXHiV9ixTRR7k3iB9?usp=sharing)               | 2x faster | 60% less |
+| **Llama 3.2 Vision (11B)**      | [▶️ Start for free](https://colab.research.google.com/drive/1j0N4XTY1zXXy7mPAhOC1_gMYZ2F2EBlk?usp=sharing)               | 2x faster | 40% less |
 | **Llama 3.1 (8B)**      | [▶️ Start for free](https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing)               | 2x faster | 60% less |
 | **Phi-3.5 (mini)** | [▶️ Start for free](https://colab.research.google.com/drive/1lN6hPQveB_mHSnTOYifygFcrO8C1bxq4?usp=sharing)               | 2x faster | 50% less |
 | **Gemma 2 (9B)**      | [▶️ Start for free](https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing)               | 2x faster | 63% less |
-| **Mistral Small (22B)** | [▶️ Start for free](https://colab.research.google.com/drive/1oCEHcED15DzL8xXGU1VTx5ZfOJM8WY01?usp=sharing)               | 2x faster | 60% less |
-| **Ollama**     | [▶️ Start for free](https://colab.research.google.com/drive/1WZDi7APtQ9VsvOrQSSC5DDtxq159j8iZ?usp=sharing)               | 1.9x faster | 43% less |
+| **Qwen 2.5 (7B)**      | [▶️ Start for free](https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing)               | 2x faster | 63% less |
 | **Mistral v0.3 (7B)**    | [▶️ Start for free](https://colab.research.google.com/drive/1_yNCks4BTD5zOnjozppphh5GzMFaMKq_?usp=sharing)               | 2.2x faster | 73% less |
+| **Ollama**     | [▶️ Start for free](https://colab.research.google.com/drive/1WZDi7APtQ9VsvOrQSSC5DDtxq159j8iZ?usp=sharing)               | 1.9x faster | 43% less |
 | **ORPO**     | [▶️ Start for free](https://colab.research.google.com/drive/11t4njE3c4Lxl-07OD8lJSMKkfyJml3Tn?usp=sharing)               | 1.9x faster | 43% less |
 | **DPO Zephyr**     | [▶️ Start for free](https://colab.research.google.com/drive/15vttTpzzVXv_tJwEk-hIcQ0S9FcEWvwP?usp=sharing)               | 1.9x faster | 43% less |

- **Kaggle Notebooks** for [Llama 3.1 (8B)](https://www.kaggle.com/danielhanchen/kaggle-llama-3-1-8b-unsloth-notebook), [Gemma 2 (9B)](https://www.kaggle.com/code/danielhanchen/kaggle-gemma-7b-unsloth-notebook/), [Mistral (7B)](https://www.kaggle.com/code/danielhanchen/kaggle-mistral-7b-unsloth-notebook)
- Run [Llama 3.2 1B 3B notebook](https://colab.research.google.com/drive/1hoHFpf7ROqk_oZHzxQdfPW9yvTxnvItq?usp=sharing) and [Llama 3.2 conversational notebook](https://colab.research.google.com/drive/1T5-zKWM_5OD21QHwXHiV9ixTRR7k3iB9?usp=sharing)
- Run [Llama 3.1 conversational notebook](https://colab.research.google.com/drive/15OyFkGoCImV9dSsewU1wa2JuKB4-mDE_?usp=sharing) and [Mistral v0.3 ChatML](https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing)
+- See [all our notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) and [all our models](https://docs.unsloth.ai/get-started/all-our-models)
+- **Kaggle Notebooks** for [Llama 3.2 Kaggle notebook](https://www.kaggle.com/danielhanchen/kaggle-llama-3-2-1b-3b-unsloth-notebook), [Llama 3.1 (8B)](https://www.kaggle.com/danielhanchen/kaggle-llama-3-1-8b-unsloth-notebook), [Gemma 2 (9B)](https://www.kaggle.com/code/danielhanchen/kaggle-gemma-7b-unsloth-notebook/), [Mistral (7B)](https://www.kaggle.com/code/danielhanchen/kaggle-mistral-7b-unsloth-notebook)
+- Run notebooks for [Llama 3.2 conversational](https://colab.research.google.com/drive/1T5-zKWM_5OD21QHwXHiV9ixTRR7k3iB9?usp=sharing), [Llama 3.1 conversational](https://colab.research.google.com/drive/15OyFkGoCImV9dSsewU1wa2JuKB4-mDE_?usp=sharing) and [Mistral v0.3 ChatML](https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing)
 - This [text completion notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing) is for continued pretraining / raw text
 - This [continued pretraining notebook](https://colab.research.google.com/drive/1tEd1FrOXWMnCU9UIvdYhs61tkxdMuKZu?usp=sharing) is for learning another language
- Click [here](https://github.com/unslothai/unsloth/wiki) for detailed documentation for Unsloth.
+- Click [here](https://docs.unsloth.ai/) for detailed documentation for Unsloth.

 ## 🦥 Unsloth.ai News
+- 📣 NEW! [Vision models](https://unsloth.ai/blog/vision) now supported! [Llama 3.2 Vision (11B)](https://colab.research.google.com/drive/1j0N4XTY1zXXy7mPAhOC1_gMYZ2F2EBlk?usp=sharing), [Qwen 2.5 VL (7B)](https://colab.research.google.com/drive/1whHb54GNZMrNxIsi2wm2EY_-Pvo2QyKh?usp=sharing) and [Pixtral (12B) 2409](https://colab.research.google.com/drive/1K9ZrdwvZRE96qGkCq_e88FgV3MLnymQq?usp=sharing)
+- 📣 NEW! Qwen-2.5 including [Coder](https://colab.research.google.com/drive/18sN803sU23XuJV9Q8On2xgqHSer6-UZF?usp=sharing) models are now supported with bugfixes. 14b fits in a Colab GPU! [Qwen 2.5 conversational notebook]
 - 📣 NEW! We found and helped fix a [gradient accumulation bug](https://unsloth.ai/blog/gradient)! Please update Unsloth and transformers.
- 📣 NEW! [Llama 3.2 Conversational notebook](https://colab.research.google.com/drive/1T5-zKWM_5OD21QHwXHiV9ixTRR7k3iB9?usp=sharing) includes training only on completions / outputs (increase accuracy), ShareGPT standardization and more!
- 📣 NEW! [Llama 3.2 Kaggle notebook](https://www.kaggle.com/danielhanchen/kaggle-llama-3-2-1b-3b-unsloth-notebook) and [Llama 3.2 Kaggle conversational notebook](https://www.kaggle.com/code/danielhanchen/kaggle-llama-3-2-1b-3b-conversational-unsloth/notebook)
- 📣 NEW! [Qwen 2.5 7b notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing) finetuning is supported! Qwen 2.5 comes in multiple sizes - check our [4bit uploads](https://huggingface.co/unsloth) for 4x faster downloads!. 14b fits in a Colab GPU! [Qwen 2.5 conversational notebook](https://colab.research.google.com/drive/1qN1CEalC70EO1wGKhNxs1go1W9So61R5?usp=sharing)
 - 📣 NEW! [Mistral Small 22b notebook](https://colab.research.google.com/drive/1oCEHcED15DzL8xXGU1VTx5ZfOJM8WY01?usp=sharing) finetuning fits in under 16GB of VRAM!
- 📣 NEW! [Phi-3.5 (mini)](https://colab.research.google.com/drive/1lN6hPQveB_mHSnTOYifygFcrO8C1bxq4?usp=sharing) now supported
- 📣 NEW! [Gemma-2-2b](https://colab.research.google.com/drive/1weTpKOjBZxZJ5PQ-Ql8i6ptAY2x-FWVA?usp=sharing) now supported! Try out [Chat interface](https://colab.research.google.com/drive/1i-8ESvtLRGNkkUQQr_-z_rcSAIo9c3lM?usp=sharing)!
- 📣 NEW! [Llama 3.1 8b, 70b](https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing) & [Mistral Nemo-12b](https://colab.research.google.com/drive/17d3U-CAIwzmbDRqbZ9NnpHxCkmXB6LZ0?usp=sharing) both Base and Instruct are now supported
 <details>
  <summary>Click for more news</summary>

+- 📣 Try out [Chat interface](https://colab.research.google.com/drive/1i-8ESvtLRGNkkUQQr_-z_rcSAIo9c3lM?usp=sharing)!
+- 📣 NEW! [Llama 3.1 8b, 70b](https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing) & [Mistral Nemo-12b](https://colab.research.google.com/drive/17d3U-CAIwzmbDRqbZ9NnpHxCkmXB6LZ0?usp=sharing) both Base and Instruct are now supported
 - 📣 NEW! `pip install unsloth` now works! Head over to [pypi](https://pypi.org/project/unsloth/) to check it out! This allows non git pull installs. Use `pip install unsloth[colab-new]` for non dependency installs.
- 📣 NEW! [Gemma-2-9b](https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing) and Gemma-2-27b now supported
- 📣 UPDATE! [Phi-3 mini](https://colab.research.google.com/drive/1hhdhBa1j_hsymiW9m-WzxQtgqTH_NHqi?usp=sharing) model updated. [Phi-3 Medium](https://colab.research.google.com/drive/1hhdhBa1j_hsymiW9m-WzxQtgqTH_NHqi?usp=sharing) 2x faster finetuning.
 - 📣 NEW! Continued Pretraining [notebook](https://colab.research.google.com/drive/1tEd1FrOXWMnCU9UIvdYhs61tkxdMuKZu?usp=sharing) for other languages like Korean!
- 📣 NEW! Qwen2 now works
- 📣 [Mistral v0.3 Base](https://colab.research.google.com/drive/1_yNCks4BTD5zOnjozppphh5GzMFaMKq_?usp=sharing) and [Mistral v0.3 Instruct]
- 📣 [ORPO support](https://colab.research.google.com/drive/11t4njE3c4Lxl-07OD8lJSMKkfyJml3Tn?usp=sharing) is here + [2x faster inference](https://colab.research.google.com/drive/1aqlNQi7MMJbynFDyOQteD2t0yVfjb9Zh?usp=sharing) added for all our models
+- 📣 [2x faster inference](https://colab.research.google.com/drive/1aqlNQi7MMJbynFDyOQteD2t0yVfjb9Zh?usp=sharing) added for all our models
 - 📣 We cut memory usage by a [further 30%](https://unsloth.ai/blog/long-context) and now support [4x longer context windows](https://unsloth.ai/blog/long-context)!
- 
 </details>

 ## 🔗 Links and Resources
@ -69,7 +63,7 @@ All notebooks are **beginner friendly**! Add your dataset, click "Run All", and
 | <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)|
 | 💾 **Installation**               | [unsloth/README.md](https://github.com/unslothai/unsloth/tree/main#-installation-instructions)|
 | 🥇 **Benchmarking**                   | [Performance Tables](https://github.com/unslothai/unsloth/tree/main#-performance-benchmarking)
-| 🌐 **Released Models**            | [Unsloth Releases](https://huggingface.co/unsloth)|
+| 🌐 **Released Models**            | [Unsloth Releases](https://docs.unsloth.ai/get-started/all-our-models)|
 | ✍️ **Blog**                    | [Read our Blogs](https://unsloth.ai/blog)|

 ## ⭐ Key Features
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