"/home/chenyang/miniconda3/envs/AlphaMeemory/lib/python3.11/site-packages/transformers/utils/hub.py:128: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.\n",
"/home/chenyang/miniconda3/envs/AlphaMeemory/lib/python3.11/site-packages/transformers/utils/hub.py:128: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.\n",
" warnings.warn(\n",
"/home/chenyang/miniconda3/envs/AlphaMeemory/lib/python3.11/site-packages/transformers/utils/hub.py:128: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.\n",
"[2024-10-31 22:40:54] The server is fired up and ready to roll!\n"
]
},
{
"data": {
"text/html": [
"<strong style='color: #00008B;'><br><br> NOTE: Typically, the server runs in a separate terminal.<br> In this notebook, we run the server and notebook code together, so their outputs are combined.<br> To improve clarity, the server logs are displayed in the original black color, while the notebook outputs are highlighted in blue.<br> </strong>"
"/home/chenyang/miniconda3/envs/AlphaMeemory/lib/python3.11/site-packages/transformers/utils/hub.py:128: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.\n",
"Used to generate completion from the model, similar to the `/v1/completions` API in OpenAI. Detailed parameters can be found in the [sampling parameters](https://sgl-project.github.io/references/sampling_params.html)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"\n",
"url = \"http://localhost:30010/generate\"\n",
"data = {\"text\": \"List 3 countries and their capitals.\"}\n",
"\n",
"response = requests.post(url, json=data)\n",
"print_highlight(response.text)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get Server Args\n",
"\n",
"Used to get the serving args when the server is launched."
"Update model weights without restarting the server. Use for continuous evaluation during training. Only applicable for models with the same architecture and parameter size."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# successful update with same architecture and size\n",
"2024-11-02 00:24:10.542705: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:479] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2024-11-02 00:24:10.554725: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:10575] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"2024-11-02 00:24:10.554758: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1442] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"2024-11-02 00:24:11.063662: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"[2024-11-02 00:24:53] The server is fired up and ready to roll!\n"
]
},
{
"data": {
"text/html": [
"<strong style='color: #00008B;'><br><br> NOTE: Typically, the server runs in a separate terminal.<br> In this notebook, we run the server and notebook code together, so their outputs are combined.<br> To improve clarity, the server logs are displayed in the original black color, while the notebook outputs are highlighted in blue.<br> </strong>"
"<strong style='color: #00008B;'>{\"id\":\"5e9e1c80809f492a926a2634c3d162d0\",\"object\":\"chat.completion\",\"created\":1730507184,\"model\":\"meta-llama/Llama-3.2-11B-Vision-Instruct\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"The image depicts a man ironing clothes on an ironing board that is placed on the back of a yellow taxi cab.\"},\"logprobs\":null,\"finish_reason\":\"stop\",\"matched_stop\":128009}],\"usage\":{\"prompt_tokens\":6463,\"total_tokens\":6489,\"completion_tokens\":26,\"prompt_tokens_details\":null}}</strong>"
"<strong style='color: #00008B;'>The first image shows a man in a yellow shirt ironing a shirt on the back of a yellow taxi cab, with a red line connecting the two objects. The second image shows a large orange \"S\" and \"G\" on a white background, with a red line connecting them.</strong>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"source": [
"from openai import OpenAI\n",
"from openai import OpenAI\n",
"\n",
"\n",
...
@@ -320,7 +189,7 @@
...
@@ -320,7 +189,7 @@
" {\n",
" {\n",
" \"type\": \"text\",\n",
" \"type\": \"text\",\n",
" \"text\": \"I have two very different images. They are not related at all. \"\n",
" \"text\": \"I have two very different images. They are not related at all. \"\n",
" \"Please describe the first image in one sentence, and then describe the second image in another sentence.\",\n",
" \"Please describe the first image in one sentence, and then describe the second image in another sentence.\",\n",
"2024-11-02 00:27:25.383621: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:479] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2024-11-02 00:27:25.396224: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:10575] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"2024-11-02 00:27:25.396257: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1442] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"2024-11-02 00:27:25.922262: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"[2024-11-02 00:28:06] The server is fired up and ready to roll!\n"
]
},
{
"data": {
"text/html": [
"<strong style='color: #00008B;'><br><br> NOTE: Typically, the server runs in a separate terminal.<br> In this notebook, we run the server and notebook code together, so their outputs are combined.<br> To improve clarity, the server logs are displayed in the original black color, while the notebook outputs are highlighted in blue.<br> </strong>"
"<strong style='color: #00008B;'>{\"id\":\"a0714277fab546c5b6d91724aa3e27a3\",\"object\":\"chat.completion\",\"created\":1730507329,\"model\":\"meta-llama/Meta-Llama-3.1-8B-Instruct\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"An LLM, or Large Language Model, is a type of artificial intelligence (AI) designed to process and generate human-like language, often used in applications such as chatbots, virtual assistants, and language translation software.\"},\"logprobs\":null,\"finish_reason\":\"stop\",\"matched_stop\":128009}],\"usage\":{\"prompt_tokens\":53,\"total_tokens\":98,\"completion_tokens\":45,\"prompt_tokens_details\":null}}</strong>"
"<strong style='color: #00008B;'>{'text': ' a city of romance, art, fashion, and history. Paris is a must-visit destination for anyone who loves culture, architecture, and cuisine. From the', 'meta_info': {'prompt_tokens': 6, 'completion_tokens': 32, 'completion_tokens_wo_jump_forward': 32, 'cached_tokens': 5, 'finish_reason': {'type': 'length', 'length': 32}, 'id': 'd882513c180d4c5981488257ccab4b9f'}, 'index': 0}</strong>"
Chayenne <zhaochenyang@g.ucla.edu>