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Alpaca_+_Codellama_34b_full_example.ipynb

@@ -3,7 +3,9 @@
     {
       "cell_type": "markdown",
       "source": [
-        "To run this, press \"Runtime\" and press \"Run all\" on a **free** Tesla T4 Google Colab instance!\n",
+        "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",
         "<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",
@@ -31,13 +33,11 @@
         "major_version, minor_version = torch.cuda.get_device_capability()\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 \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\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",
-        "pass\n",
-        "\n",
-        "!pip install \"git+https://github.com/huggingface/transformers.git\" # Native 4bit loading works!"
+        "pass"
       ]
     },
     {
@@ -728,6 +728,7 @@
         "\n",
         "trainer = SFTTrainer(\n",
         "    model = model,\n",
+        "    tokenizer = tokenizer,\n",
         "    train_dataset = dataset,\n",
         "    dataset_text_field = \"text\",\n",
         "    max_seq_length = max_seq_length,\n",
@@ -1410,7 +1411,9 @@
       "source": [
         "<a name=\"Save\"></a>\n",
         "### Saving, loading finetuned models\n",
-        "To save the final model, either use Huggingface's `push_to_hub` for an online save or `save_pretrained` for a local save."
+        "To save the final model, either use Huggingface's `push_to_hub` for an online save or `save_pretrained` for a local save.\n",
+        "\n",
+        "To save to `GGUF` / `llama.cpp`, or for model merging, use `model.merge_and_unload` first, then save the model. Maxime Labonne's [llm-course](https://mlabonne.github.io/blog/posts/Quantize_Llama_2_models_using_ggml.html) has a nice tutorial on converting HF to GGUF! This [issue](https://github.com/ggerganov/llama.cpp/issues/3097) might be helpful for more info."
       ],
       "metadata": {
         "id": "uMuVrWbjAzhc"
@@ -1498,6 +1501,14 @@
       "cell_type": "markdown",
       "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",
+        "\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",

Alpaca_+_Llama_7b_full_example.ipynb

@@ -31,7 +31,7 @@
         "major_version, minor_version = torch.cuda.get_device_capability()\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 \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\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",
@@ -1243,9 +1243,9 @@
       "source": [
         "if False:\n",
         "    # I highly do NOT suggest - use Unsloth if possible\n",
-        "    from peft import AutoModelForPeftCausalLM\n",
+        "    from peft import AutoPeftModelForCausalLM\n",
         "    from transformers import AutoTokenizer\n",
-        "    model = AutoModelForPeftCausalLM.from_pretrained(\n",
+        "    model = AutoPeftModelForCausalLM.from_pretrained(\n",
         "        \"lora_model\", # YOUR MODEL YOU USED FOR TRAINING\n",
         "        load_in_4bit = load_in_4bit,\n",
         "    )\n",

Alpaca_+_TinyLlama_+_RoPE_Scaling_full_example.ipynb

@@ -33,7 +33,7 @@
         "major_version, minor_version = torch.cuda.get_device_capability()\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 \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\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",
@@ -2420,9 +2420,9 @@
       "source": [
         "if False:\n",
         "    # I highly do NOT suggest - use Unsloth if possible\n",
-        "    from peft import AutoModelForPeftCausalLM\n",
+        "    from peft import AutoPeftModelForCausalLM\n",
         "    from transformers import AutoTokenizer\n",
-        "    model = AutoModelForPeftCausalLM.from_pretrained(\n",
+        "    model = AutoPeftModelForCausalLM.from_pretrained(\n",
         "        \"lora_model\", # YOUR MODEL YOU USED FOR TRAINING\n",
         "        load_in_4bit = load_in_4bit,\n",
         "    )\n",

DPO_Zephyr_Unsloth_Example.ipynb

@@ -32,7 +32,7 @@
         "major_version, minor_version = torch.cuda.get_device_capability()\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 \"unsloth[colab-ampere] @ git+https://github.com/unslothai/unsloth.git\"\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",