README.md

---
license: other
license_name: license
license_link: LICENSE
---
<div align="center">
<h1>
  Index-1.9B-Chat-GGUF
</h1>
</div>

This repository is the GGUF version of [Index-1.9B-Chat](https://huggingface.co/IndexTeam/Index-1.9B-Chat), which adapts to llama.cpp and also provides ModelFile adaptation for Ollma.

For more details, see our [GitHub](https://github.com/bilibili/Index-1.9B) and [Index-1.9B Technical Report](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 
# Install llama.cpp(https://github.com/ggerganov/llama.cpp)
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make

# Install llama-cpp-python(https://github.com/abetlen/llama-cpp-python)
pip install llama-cpp-python
```
llama.cpp terminal
```shell
./build/bin/llama-cli -m models/Index-1.9B-Chat/ggml-model-bf16.gguf --color -if
```
**Note!!** llama.cpp does not support custom chat_template, so you need to splice prompt yourself. The chat_template of Index-1.9B is
```shell
# The three delimiters are <unk>(token_id=0), reserved_0(token_id=3), reserved_1(token_id=4)
[<unk>]sytem_message[reserved_0]user_message[reserved_1]response
```
Use llama-cpp-python to support custom chat_template (already written to GGUF and can be used directly)
```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
- Install [Ollama](https://github.com/ollama/ollama)
```shell
curl -fsSL https://ollama.com/install.sh | sh
```
```shell
# Start server
ollama serve

# Adaptation model, model file and System Message can be modified in OllamaModelFile
ollama create Index-1.9B-Chat -f Index-1.9B-Chat-GGUF/OllamaModelFile

# Start Terminal
ollama run Index-1.9B-Chat

# System Message can be specified dynamically
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" }
  ]
}'
```