---
license: other
license_name: license
license_link: LICENSE
---
Index-1.9B-Chat-GGUF
此为[Index-1.9B-Chat](https://huggingface.co/IndexTeam/Index-1.9B-Chat)的GGUF版本,适配llama.cpp,同时提供了Ollma的ModelFile适配。
更多细节详见我们的[GitHub](https://github.com/bilibili/Index-1.9B)和[Index-1.9B技术报告](https://github.com/bilibili/Index-1.9B/blob/main/Index-1.9B%20%E6%8A%80%E6%9C%AF%E6%8A%A5%E5%91%8A.pdf)
### LLAMA.CPP
```shell
# 安装llama.cpp(https://github.com/ggerganov/llama.cpp)
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make
# 安装llama-cpp-python(https://github.com/abetlen/llama-cpp-python)
pip install llama-cpp-python
```
llama.cpp终端交互
```shell
./build/bin/llama-cli -m models/Index-1.9B-Chat/ggml-model-bf16.gguf --color -if
```
**注意!!** llama.cpp并不支持自定义chat_template, 故而需要自己拼接prompt,Index-1.9B的chat_template(示意)为
```shell
# 三个分隔符为 (token_id=0), reserved_0(token_id=3), reserved_1(token_id=4)
[]sytem_message[reserved_0]user_message[reserved_1]response
```
使用llama-cpp-python可支持自定义的chat_template(已写入GGUF,可直接使用)
```python
from llama_cpp import Llama
model_path = "Index-1.9B-Chat-GGUF/ggml-model-Q6_K.gguf"
llm = Llama(model_path =model_path, verbose=True)
output = llm.create_chat_completion(
messages = [
{"role": "system", "content": "你是由哔哩哔哩自主研发的大语言模型,名为“Index”。你能够根据用户传入的信息,帮助用户完成指定的任务,并生成恰当的、符合要求的回复。"},
#{"role": "system", "content": "你需要扮演B站评论区老哥,用评论区阴阳怪气的话术回复,不要说你是AI"},
{"role": "user","content": "篮球和鸡有什么关系"}
]
)
print(output)
```
### OLLAMA
- 安装[Ollama](https://github.com/ollama/ollama)
```shell
curl -fsSL https://ollama.com/install.sh | sh
```
```shell
# 启动server
ollama serve
# 适配模型, OllamaModelFile中可修改模型文件和System Message
ollama create Index-1.9B-Chat -f Index-1.9B-Chat-GGUF/OllamaModelFile
# 启动终端
ollama run Index-1.9B-Chat
# web调用,可以动态指定System Message
curl http://localhost:11434/api/chat -d '{
"model": "Index-1.9B-Chat",
"messages": [
{ "role": "system", "content": "你是由哔哩哔哩自主研发的大语言模型,名为“Index”。你能够根据用户传入的信息,帮助用户完成指定的任务,并生成恰当的、符合要求的回复。" },
{ "role": "user", "content": "续写 金坷垃" }
]
}'
```