From fdbeb52756d40e88202a722600188b22a9731fc4 Mon Sep 17 00:00:00 2001
From: Leonid Ganeline <leo.gan.57@gmail.com>
Date: Sun, 20 Aug 2023 17:21:45 -0700
Subject: [PATCH] `Qwen` model example (#9516)

added an example for `Qwen-7B` model on `HugginfFaceHub` :hugs:
---
 .../integrations/llms/huggingface_hub.ipynb   | 50 ++++++++++++++++---
 1 file changed, 44 insertions(+), 6 deletions(-)

diff --git a/docs/extras/integrations/llms/huggingface_hub.ipynb b/docs/extras/integrations/llms/huggingface_hub.ipynb
index c321930da0..f635e5c679 100644
--- a/docs/extras/integrations/llms/huggingface_hub.ipynb
+++ b/docs/extras/integrations/llms/huggingface_hub.ipynb
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "d597a792-354c-4ca5-b483-5965eec5d63d",
    "metadata": {},
    "outputs": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "b8c5b88c-e4b8-4d0d-9a35-6e8f106452c2",
    "metadata": {},
    "outputs": [],
@@ -86,7 +86,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "3fe7d1d1-241d-426a-acff-e208f1088871",
    "metadata": {},
    "outputs": [],
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 4,
    "id": "6620f39b-3d32-4840-8931-ff7d2c3e47e8",
    "metadata": {},
    "outputs": [],
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 5,
    "id": "44adc1a0-9c0a-4f1e-af5a-fe04222e78d7",
    "metadata": {},
    "outputs": [],
@@ -358,10 +358,48 @@
     "print(llm_chain.run(question))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4f2e5132-1713-42d7-919a-8c313744ce95",
+   "metadata": {},
+   "source": [
+    "### `Qwen`, by `Alibaba Cloud`\n",
+    "\n",
+    ">`Tongyi Qianwen-7B` (`Qwen-7B`) is a model with a scale of 7 billion parameters in the `Tongyi Qianwen` large model series developed by `Alibaba Cloud`. `Qwen-7B` is a large language model based on Transformer, which is trained on ultra-large-scale pre-training data.\n",
+    "\n",
+    "See [more information on HuggingFace](https://huggingface.co/Qwen/Qwen-7B) of on [GitHub](https://github.com/QwenLM/Qwen-7B).\n",
+    "\n",
+    "See here a [big example for LangChain integration and Qwen](https://github.com/QwenLM/Qwen-7B/blob/main/examples/langchain_tooluse.ipynb)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f598b1ca-77c7-40f1-a83f-c21ea9910c88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "repo_id = \"Qwen/Qwen-7B\""
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a80bc30a-4040-417f-8094-d2c81c423b76",
+   "id": "2c97f4e2-d401-44fb-9da7-b60b2e2cc663",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm = HuggingFaceHub(\n",
+    "    repo_id=repo_id, model_kwargs={\"max_length\": 128, \"temperature\": 0.5}\n",
+    ")\n",
+    "llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
+    "print(llm_chain.run(question))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1dd67c1e-1efc-4def-bde4-2e5265725303",
    "metadata": {},
    "outputs": [],
    "source": []