Upload 8 files

Alpaca_+_Codellama_34b_full_example.ipynb

@@ -3,13 +3,11 @@
     {
       "cell_type": "markdown",
       "source": [
-        "To run this, press \"Runtime\" and press \"Run all\" on a A100 Colab instance!\n",
-        "\n",
-        "**[NOTE]** You might be lucky if an A100 is free!. If not, try our Mistral 7b notebook on a free Tesla T4 [here](https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing).\n",
+        "To run this, press \"*Runtime*\" and press \"*Run all*\" on a **free** Tesla T4 Google Colab instance!\n",
         "<div class=\"align-center\">\n",
-        "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"110\"></a>\n",
-        "  <a href=\"https://discord.gg/u54VK8m8tk\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"150\"></a>\n",
-        "  <a href=\"https://huggingface.co/docs/trl/main/en/index\"><img src=\"https://github.com/huggingface/blog/blob/main/assets/133_trl_peft/thumbnail.png?raw=true\" width=\"100\"></a> Join our Discord if you need help!\n",
+        "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
+        "  <a href=\"https://discord.gg/u54VK8m8tk\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord button.png\" width=\"145\"></a>\n",
+        "  <a href=\"https://ko-fi.com/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Kofi button.png\" width=\"145\"></a></a> Join Discord if you need help + support us if you can!\n",
         "</div>\n",
         "\n",
         "To install Unsloth on your own computer, follow the installation instructions on our Github page [here](https://github.com/unslothai/unsloth#installation-instructions---conda).\n",
@@ -31,12 +29,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -47,7 +47,8 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ],
       "metadata": {
         "id": "r2v_X2fA0Df5"
@@ -1502,17 +1503,20 @@
       "source": [
         "And we're done! If you have any questions on Unsloth, we have a [Discord](https://discord.gg/u54VK8m8tk) channel! If you find any bugs or want to keep updated with the latest LLM stuff, or need help, join projects etc, feel free to join our Discord!\n",
         "\n",
-        "We also have other notebooks on:\n",
-        "1. Zephyr DPO [free Colab](https://colab.research.google.com/drive/15vttTpzzVXv_tJwEk-hIcQ0S9FcEWvwP?usp=sharing)\n",
-        "2. Llama 7b [free Colab](https://colab.research.google.com/drive/1lBzz5KeZJKXjvivbYvmGarix9Ao6Wxe5?usp=sharing)\n",
-        "3. TinyLlama full Alpaca 52K in under 80 hours [free Colab](https://colab.research.google.com/drive/1AZghoNBQaMDgWJpi4RbffGM1h6raLUj9?usp=sharing)\n",
-        "4. Mistral 7b [free Colab](https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing)\n",
-        "5. Llama 7b [free Kaggle](https://www.kaggle.com/danielhanchen/unsloth-alpaca-t4-ddp)\n",
+        "Some other links:\n",
+        "1. Zephyr DPO 2x faster [free Colab](https://colab.research.google.com/drive/15vttTpzzVXv_tJwEk-hIcQ0S9FcEWvwP?usp=sharing)\n",
+        "2. Llama 7b 2x faster [free Colab](https://colab.research.google.com/drive/1lBzz5KeZJKXjvivbYvmGarix9Ao6Wxe5?usp=sharing)\n",
+        "3. TinyLlama 4x faster full Alpaca 52K in 1 hour [free Colab](https://colab.research.google.com/drive/1AZghoNBQaMDgWJpi4RbffGM1h6raLUj9?usp=sharing)\n",
+        "4. CodeLlama 34b 2x faster [A100 on Colab](https://colab.research.google.com/drive/1y7A0AxE3y8gdj4AVkl2aZX47Xu3P1wJT?usp=sharing)\n",
+        "5. Mistral 7b [free Kaggle version](https://www.kaggle.com/code/danielhanchen/kaggle-mistral-7b-unsloth-notebook)\n",
+        "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
+        "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n",
+        "8. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
-        "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"110\"></a>\n",
-        "  <a href=\"https://discord.gg/u54VK8m8tk\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"150\"></a>\n",
-        "  <a href=\"https://huggingface.co/docs/trl/main/en/index\"><img src=\"https://github.com/huggingface/blog/blob/main/assets/133_trl_peft/thumbnail.png?raw=true\" width=\"100\"></a>\n",
+        "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
+        "  <a href=\"https://discord.gg/u54VK8m8tk\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"145\"></a>\n",
+        "  <a href=\"https://ko-fi.com/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Kofi button.png\" width=\"145\"></a></a> Support our work if you can! Thanks!\n",
         "</div>"
       ],
       "metadata": {

Alpaca_+_Llama_7b_full_example.ipynb

@@ -29,12 +29,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -45,7 +47,8 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ],
       "metadata": {
         "id": "r2v_X2fA0Df5"
@@ -283,6 +286,8 @@
         "    \"unsloth/llama-2-13b-bnb-4bit\",\n",
         "    \"unsloth/codellama-34b-bnb-4bit\",\n",
         "    \"unsloth/tinyllama-bnb-4bit\",\n",
+        "    \"unsloth/gemma-7b-bnb-4bit\", # New Google 6 trillion tokens model 2.5x faster!\n",
+        "    \"unsloth/gemma-2b-bnb-4bit\",\n",
         "] # More models at https://huggingface.co/unsloth\n",
         "\n",
         "model, tokenizer = FastLanguageModel.from_pretrained(\n",
@@ -1348,6 +1353,7 @@
         "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
         "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n",
         "8. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n",
+        "9. Gemma 6 trillion tokens is 2.5x faster! [free Colab](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
         "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",

Alpaca_+_Mistral_7b_full_example.ipynb

@@ -29,12 +29,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -45,7 +47,8 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ],
       "metadata": {
         "id": "r2v_X2fA0Df5"
@@ -282,6 +285,8 @@
         "    \"unsloth/llama-2-13b-bnb-4bit\",\n",
         "    \"unsloth/codellama-34b-bnb-4bit\",\n",
         "    \"unsloth/tinyllama-bnb-4bit\",\n",
+        "    \"unsloth/gemma-7b-bnb-4bit\", # New Google 6 trillion tokens model 2.5x faster!\n",
+        "    \"unsloth/gemma-2b-bnb-4bit\",\n",
         "] # More models at https://huggingface.co/unsloth\n",
         "\n",
         "model, tokenizer = FastLanguageModel.from_pretrained(\n",
@@ -1260,6 +1265,7 @@
         "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
         "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n",
         "8. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n",
+        "9. Gemma 6 trillion tokens is 2.5x faster! [free Colab](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
         "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",

Alpaca_+_TinyLlama_+_RoPE_Scaling_full_example.ipynb

@@ -31,12 +31,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -50,7 +52,8 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ]
     },
     {
@@ -282,6 +285,8 @@
         "    \"unsloth/llama-2-13b-bnb-4bit\",\n",
         "    \"unsloth/codellama-34b-bnb-4bit\",\n",
         "    \"unsloth/tinyllama-bnb-4bit\",\n",
+        "    \"unsloth/gemma-7b-bnb-4bit\", # New Google 6 trillion tokens model 2.5x faster!\n",
+        "    \"unsloth/gemma-2b-bnb-4bit\",\n",
         "] # More models at https://huggingface.co/unsloth\n",
         "\n",
         "model, tokenizer = FastLanguageModel.from_pretrained(\n",
@@ -2528,6 +2533,7 @@
         "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
         "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n",
         "8. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n",
+        "9. Gemma 6 trillion tokens is 2.5x faster! [free Colab](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
         "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",

ChatML_+_chat_templates_+_Mistral_7b_full_example.ipynb

@@ -31,12 +31,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -47,7 +49,8 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ],
       "metadata": {
         "id": "r2v_X2fA0Df5"
@@ -284,6 +287,8 @@
         "    \"unsloth/llama-2-13b-bnb-4bit\",\n",
         "    \"unsloth/codellama-34b-bnb-4bit\",\n",
         "    \"unsloth/tinyllama-bnb-4bit\",\n",
+        "    \"unsloth/gemma-7b-bnb-4bit\", # New Google 6 trillion tokens model 2.5x faster!\n",
+        "    \"unsloth/gemma-2b-bnb-4bit\",\n",
         "] # More models at https://huggingface.co/unsloth\n",
         "\n",
         "model, tokenizer = FastLanguageModel.from_pretrained(\n",
@@ -1392,6 +1397,7 @@
         "5. Mistral 7b [free Kaggle version](https://www.kaggle.com/code/danielhanchen/kaggle-mistral-7b-unsloth-notebook)\n",
         "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
         "7. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n",
+        "9. Gemma 6 trillion tokens is 2.5x faster! [free Colab](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
         "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",

DPO_Zephyr_Unsloth_Example.ipynb

@@ -30,12 +30,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -49,8 +51,9 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
-        "* DPO requires a model already trained by SFT on a similar dataset that is used for DPO. We use `HuggingFaceH4/mistral-7b-sft-beta` as the SFT model. Use this [notebook](https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing) first to train a SFT model."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* DPO requires a model already trained by SFT on a similar dataset that is used for DPO. We use `HuggingFaceH4/mistral-7b-sft-beta` as the SFT model. Use this [notebook](https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing) first to train a SFT model.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ]
     },
     {
@@ -2564,6 +2567,7 @@
         "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
         "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n",
         "8. Text completions like novel writing [notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing)\n",
+        "9. Gemma 6 trillion tokens is 2.5x faster! [free Colab](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
         "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",

Mistral_7b_Text_Completion_Raw_Text_training_full_example.ipynb

@@ -41,12 +41,14 @@
         "%%capture\n",
         "import torch\n",
         "major_version, minor_version = torch.cuda.get_device_capability()\n",
+        "# Must install separately since Colab has torch 2.2.1, which breaks packages\n",
+        "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n",
         "if major_version >= 8:\n",
         "    # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n",
-        "    !pip install \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps packaging ninja einops flash-attn xformers trl peft accelerate bitsandbytes\n",
         "else:\n",
         "    # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n",
-        "    !pip install \"unsloth[colab] @ git+https://github.com/unslothai/unsloth.git\"\n",
+        "    !pip install --no-deps xformers trl peft accelerate bitsandbytes\n",
         "pass"
       ]
     },
@@ -60,7 +62,8 @@
         "* And Yi, Qwen ([llamafied](https://huggingface.co/models?sort=trending&search=qwen+llama)), Deepseek, all Llama, Mistral derived archs.\n",
         "* We support 16bit LoRA or 4bit QLoRA. Both 2x faster.\n",
         "* `max_seq_length` can be set to anything, since we do automatic RoPE Scaling via [kaiokendev's](https://kaiokendev.github.io/til) method.\n",
-        "* [**NEW**] With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models."
+        "* With [PR 26037](https://github.com/huggingface/transformers/pull/26037), we support downloading 4bit models **4x faster**! [Our repo](https://huggingface.co/unsloth) has Llama, Mistral 4bit models.\n",
+        "* [**NEW**] We make Gemma 6 trillion tokens **2.5x faster**! See our [Gemma notebook](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)"
       ]
     },
     {
@@ -296,6 +299,8 @@
         "    \"unsloth/llama-2-13b-bnb-4bit\",\n",
         "    \"unsloth/codellama-34b-bnb-4bit\",\n",
         "    \"unsloth/tinyllama-bnb-4bit\",\n",
+        "    \"unsloth/gemma-7b-bnb-4bit\", # New Google 6 trillion tokens model 2.5x faster!\n",
+        "    \"unsloth/gemma-2b-bnb-4bit\",\n",
         "] # More models at https://huggingface.co/unsloth\n",
         "\n",
         "model, tokenizer = FastLanguageModel.from_pretrained(\n",
@@ -1324,6 +1329,7 @@
         "5. Mistral 7b [free Kaggle version](https://www.kaggle.com/code/danielhanchen/kaggle-mistral-7b-unsloth-notebook)\n",
         "6. We also did a [blog](https://huggingface.co/blog/unsloth-trl) with 🤗 HuggingFace, and we're in the TRL [docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth)!\n",
         "7. `ChatML` for ShareGPT datasets, [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing)\n",
+        "8. Gemma 6 trillion tokens is 2.5x faster! [free Colab](https://colab.research.google.com/drive/10NbwlsRChbma1v55m8LAPYG15uQv6HLo?usp=sharing)\n",
         "\n",
         "<div class=\"align-center\">\n",
         "  <a href=\"https://github.com/unslothai/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",