Ollama Llama 包示例¶

数据设置¶

In [ ]:

!wget "https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1" -O paul_graham_essay.txt

!wget "https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1" -O paul_graham_essay.txt

--2023-12-06 10:57:29--  https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1
Resolving www.dropbox.com (www.dropbox.com)... 2620:100:6057:18::a27d:d12, 162.125.13.18
Connecting to www.dropbox.com (www.dropbox.com)|2620:100:6057:18::a27d:d12|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: /s/dl/f6bmb19xdg0xedm/paul_graham_essay.txt [following]
--2023-12-06 10:57:29--  https://www.dropbox.com/s/dl/f6bmb19xdg0xedm/paul_graham_essay.txt
Reusing existing connection to [www.dropbox.com]:443.
HTTP request sent, awaiting response... 302 Found
Location: https://uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com/cd/0/get/CI6sL69BcU1vwbM-TAz-tGmRw4WlbgfQuJZeNXywf2hq34Y0hCCL--A7gVBWo6T3igijCNDkLGnPwDiugV9pIEtnFODeIcET5PwUgToHl2-1P77MqJy2okrGt6CmC5bxwI5OPEV4MGsUNvSHP34FLMWZ/file?dl=1# [following]
--2023-12-06 10:57:30--  https://uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com/cd/0/get/CI6sL69BcU1vwbM-TAz-tGmRw4WlbgfQuJZeNXywf2hq34Y0hCCL--A7gVBWo6T3igijCNDkLGnPwDiugV9pIEtnFODeIcET5PwUgToHl2-1P77MqJy2okrGt6CmC5bxwI5OPEV4MGsUNvSHP34FLMWZ/file?dl=1
Resolving uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com (uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com)... 2620:100:6057:15::a27d:d0f, 162.125.13.15
Connecting to uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com (uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com)|2620:100:6057:15::a27d:d0f|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 75047 (73K) [application/binary]
Saving to: ‘paul_graham_essay.txt’

paul_graham_essay.t 100%[===================>]  73.29K  --.-KB/s    in 0.02s   

2023-12-06 10:57:30 (4.02 MB/s) - ‘paul_graham_essay.txt’ saved [75047/75047]

In [ ]:

from llama_index.core import SimpleDirectoryReader

# load in some sample data
reader = SimpleDirectoryReader(input_files=["paul_graham_essay.txt"])
documents = reader.load_data()

from llama_index.core import SimpleDirectoryReader # load in some sample data reader = SimpleDirectoryReader(input_files=["paul_graham_essay.txt"]) documents = reader.load_data()

启动 Ollama¶

请确保在终端中运行 ollama run llama2 命令。

In [ ]:

# !ollama run llama2

# !ollama run llama2

下载并初始化包¶

我们使用 download_llama_pack 下载包类，然后通过文档对其进行初始化。

每个包的初始化参数会有所不同。您可以通过包的 README（LlamaHub 上也有）查看各包的初始化参数详情。

注意：您必须指定输出目录。本例中包将被下载到 voyage_pack 目录。这样您就可以自定义并修改文件内容，后续再导入使用！

In [ ]:

from llama_index.core.llama_pack import download_llama_pack

# download and install dependencies
OllamaQueryEnginePack = download_llama_pack(
    "OllamaQueryEnginePack", "./ollama_pack"
)

from llama_index.core.llama_pack import download_llama_pack # download and install dependencies OllamaQueryEnginePack = download_llama_pack( "OllamaQueryEnginePack", "./ollama_pack" )

In [ ]:

# You can use any llama-hub loader to get documents!
ollama_pack = OllamaQueryEnginePack(model="llama2", documents=documents)

# You can use any llama-hub loader to get documents! ollama_pack = OllamaQueryEnginePack(model="llama2", documents=documents)

In [ ]:

response = ollama_pack.run("What did the author do growing up?")

response = ollama_pack.run("What did the author do growing up?")

In [ ]:

print(str(response))

print(str(response))

Based on the information provided in the context, the author did not mention anything about what he did growing up. The text only covers his experiences as an adult, including his work at Viaweb, Y Combinator, and his interest in painting. There is no information given about the author's childhood or formative years.