diff --git a/nb/Qwen2_5_7B_VL_GRPO.ipynb b/nb/Qwen2_5_7B_VL_GRPO.ipynb index 3433b2bb..cc8fe380 100644 --- a/nb/Qwen2_5_7B_VL_GRPO.ipynb +++ b/nb/Qwen2_5_7B_VL_GRPO.ipynb @@ -8,7 +8,7 @@ "
\n", "\n", "\n", - " Join Discord if you need help + \u2b50 Star us on Github \u2b50\n", + " Join Discord if you need help + ⭐ Star us on Github ⭐\n", "
\n", "\n", "To install Unsloth on your own computer, follow the installation instructions on our Github page [here](https://docs.unsloth.ai/get-started/installing-+-updating).\n", @@ -30,7 +30,7 @@ "\n", "Introducing Unsloth [Standby for RL](https://docs.unsloth.ai/basics/memory-efficient-rl): GRPO is now faster, uses 30% less memory with 2x longer context.\n", "\n", - "Gpt-oss fine-tuning now supports 8\u00d7 longer context with 0 accuracy loss. [Read more](https://docs.unsloth.ai/basics/long-context-gpt-oss-training)\n", + "Gpt-oss fine-tuning now supports 8× longer context with 0 accuracy loss. [Read more](https://docs.unsloth.ai/basics/long-context-gpt-oss-training)\n", "\n", "Unsloth now supports Text-to-Speech (TTS) models. Read our [guide here](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning).\n", "\n", @@ -49,14 +49,42 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "%%capture\nimport os\nos.environ[\"UNSLOTH_VLLM_STANDBY\"] = \"1\" # [NEW] Extra 30% context lengths!\nif \"COLAB_\" not in \"\".join(os.environ.keys()):\n # If you're not in Colab, just use pip install or uv pip install\n !pip install unsloth vllm\nelse:\n pass # For Colab / Kaggle, we need extra instructions hidden below \\/" + "source": [ + "%%capture\n", + "import os\n", + "os.environ[\"UNSLOTH_VLLM_STANDBY\"] = \"1\" # [NEW] Extra 30% context lengths!\n", + "if \"COLAB_\" not in \"\".join(os.environ.keys()):\n", + " # If you're not in Colab, just use pip install or uv pip install\n", + " !pip install unsloth vllm\n", + "else:\n", + " pass # For Colab / Kaggle, we need extra instructions hidden below \\/" + ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": "#@title Colab Extra Install { display-mode: \"form\" }\n%%capture\nimport os\n!pip install --upgrade -qqq uv\nif \"COLAB_\" not in \"\".join(os.environ.keys()):\n # If you're not in Colab, just use pip install!\n !pip install unsloth vllm\nelse:\n try: import numpy; get_numpy = f\"numpy=={numpy.__version__}\"\n except: get_numpy = \"numpy\"\n try: import subprocess; is_t4 = \"Tesla T4\" in str(subprocess.check_output([\"nvidia-smi\"]))\n except: is_t4 = False\n get_vllm, get_triton = (\"vllm==0.9.2\", \"triton==3.2.0\") if is_t4 else (\"vllm<=0.10.2\", \"triton\")\n !uv pip install -qqq --upgrade \\\n unsloth {get_vllm} {get_numpy} torchvision bitsandbytes xformers\n !uv pip install -qqq {get_triton}\n!uv pip install transformers==4.55.4\n!uv pip install --no-deps trl==0.22.2" + "source": [ + "#@title Colab Extra Install { display-mode: \"form\" }\n", + "%%capture\n", + "import os\n", + "!pip install --upgrade -qqq uv\n", + "if \"COLAB_\" not in \"\".join(os.environ.keys()):\n", + " # If you're not in Colab, just use pip install!\n", + " !pip install unsloth vllm\n", + "else:\n", + " try: import numpy; get_numpy = f\"numpy=={numpy.__version__}\"\n", + " except: get_numpy = \"numpy\"\n", + " try: import subprocess; is_t4 = \"Tesla T4\" in str(subprocess.check_output([\"nvidia-smi\"]))\n", + " except: is_t4 = False\n", + " get_vllm, get_triton = (\"vllm==0.9.2\", \"triton==3.2.0\") if is_t4 else (\"vllm<=0.10.2\", \"triton\")\n", + " !uv pip install -qqq --upgrade \\\n", + " unsloth {get_vllm} {get_numpy} torchvision bitsandbytes xformers\n", + " !uv pip install -qqq {get_triton}\n", + "!uv pip install transformers==4.55.4\n", + "!uv pip install --no-deps trl==0.22.2" + ] }, { "cell_type": "markdown", @@ -281,10 +309,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "\ud83e\udda5 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n", + "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n", "INFO 09-15 15:37:10 [__init__.py:244] Automatically detected platform cuda.\n", "ERROR 09-15 15:37:13 [fa_utils.py:57] Cannot use FA version 2 is not supported due to FA2 is only supported on devices with compute capability >= 8\n", - "\ud83e\udda5 Unsloth Zoo will now patch everything to make training faster!\n", + "🦥 Unsloth Zoo will now patch everything to make training faster!\n", "==((====))== Unsloth 2025.9.4: Fast Qwen2_5_Vl patching. Transformers: 4.55.4. vLLM: 0.9.2.\n", " \\\\ /| Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.\n", "O^O/ \\_/ \\ Torch: 2.7.0+cu126. CUDA: 7.5. CUDA Toolkit: 12.6. Triton: 3.2.0\n", @@ -619,7 +647,7 @@ "lora_rank = 16 # Larger rank = smarter, but slower\n", "\n", "model, tokenizer = FastVisionModel.from_pretrained(\n", - " model_name =\"keithdrexel/Qwen2.5-VL-7B-Instruct-4bit-BNB-LanguageOnly\",\n", + " model_name =\"unsloth/Qwen2.5-VL-7B-Instruct\",\n", " max_seq_length = max_seq_length,\n", " load_in_4bit = True, # False for LoRA 16bit\n", " fast_inference = True, # Enable vLLM fast inference\n", @@ -1562,7 +1590,7 @@ " \n", " \n", "\n", - " Join Discord if you need help + \u2b50\ufe0f Star us on Github \u2b50\ufe0f\n", + " Join Discord if you need help + ⭐️ Star us on Github ⭐️\n", "\n" ] } @@ -1608,9 +1636,9 @@ "description": "", "description_tooltip": null, "layout": "IPY_MODEL_891ea1d1193a4e84b751c1c7cf4c0d10", - "placeholder": "\u200b", + "placeholder": "​", "style": "IPY_MODEL_6e7068531b1d42a2961d10630677e427", - "value": "Loading\u2007safetensors\u2007checkpoint\u2007shards:\u2007100%\u2007Completed\u2007|\u20072/2\u2007[00:28<00:00,\u200715.08s/it]\n" + "value": "Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:28<00:00, 15.08s/it]\n" } }, "009b5c2b98284e8db9364da7afd94206": { @@ -1666,9 +1694,9 @@ "description": "", "description_tooltip": null, "layout": "IPY_MODEL_896915ab172d4151a8f89f898bfcf050", - 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