Instructions to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/CodeQwen1.5-7B-Chat-GGUF",
	filename="CodeQwen1.5-7B-Chat.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "QuantFactory/CodeQwen1.5-7B-Chat-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "QuantFactory/CodeQwen1.5-7B-Chat-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Ollama
How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
```

Unsloth Studio new

How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for QuantFactory/CodeQwen1.5-7B-Chat-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for QuantFactory/CodeQwen1.5-7B-Chat-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/CodeQwen1.5-7B-Chat-GGUF to start chatting

Docker Model Runner
How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/CodeQwen1.5-7B-Chat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.CodeQwen1.5-7B-Chat-GGUF-Q4_K_M

List all available models

lemonade list

munish0838 commited on Apr 24, 2024

Commit

09c03fe

verified ·

1 Parent(s): 10df0c3

Update README.md

Browse files

Files changed (1) hide show

README.md +1 -13

README.md CHANGED Viewed

@@ -39,16 +39,4 @@ KeyError: 'qwen2'.
 * If you encounter code switching or other bad cases, we advise you to use our provided hyper-parameters in `generation_config.json`.
-## Citation
-If you find our work helpful, feel free to give us a cite.
-```
-@article{qwen,
-  title={Qwen Technical Report},
-  author={Jinze Bai and Shuai Bai and Yunfei Chu and Zeyu Cui and Kai Dang and Xiaodong Deng and Yang Fan and Wenbin Ge and Yu Han and Fei Huang and Binyuan Hui and Luo Ji and Mei Li and Junyang Lin and Runji Lin and Dayiheng Liu and Gao Liu and Chengqiang Lu and Keming Lu and Jianxin Ma and Rui Men and Xingzhang Ren and Xuancheng Ren and Chuanqi Tan and Sinan Tan and Jianhong Tu and Peng Wang and Shijie Wang and Wei Wang and Shengguang Wu and Benfeng Xu and Jin Xu and An Yang and Hao Yang and Jian Yang and Shusheng Yang and Yang Yao and Bowen Yu and Hongyi Yuan and Zheng Yuan and Jianwei Zhang and Xingxuan Zhang and Yichang Zhang and Zhenru Zhang and Chang Zhou and Jingren Zhou and Xiaohuan Zhou and Tianhang Zhu},
-  journal={arXiv preprint arXiv:2309.16609},
-  year={2023}
-}
-```


39
40	* If you encounter code switching or other bad cases, we advise you to use our provided hyper-parameters in `generation_config.json`.
41
42	+ `