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

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Qwen/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Qwen/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 serve -hf Qwen/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Qwen/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 Qwen/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Qwen/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 Qwen/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Qwen/CodeQwen1.5-7B-Chat-GGUF:Q4_K_M

Use Docker

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

LM Studio
Jan

vLLM

How to use Qwen/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 "Qwen/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": "Qwen/CodeQwen1.5-7B-Chat-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

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

Unsloth Studio

How to use Qwen/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 Qwen/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 Qwen/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 Qwen/CodeQwen1.5-7B-Chat-GGUF to start chatting

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

Lemonade

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

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Qwen/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

Atomic Chat

Using llama.cpp server, responses always end with <|im_end|>

by gilankpam - opened Apr 23, 2024

Discussion

gilankpam

Apr 23, 2024

Hi team,

I run the model with llama.cpp server, this is the command

./server  -m models/codeqwen-1_5-7b-chat-q8_0.gguf -c 65536 --host "0.0.0.0" --port "8080" --n-gpu-layers 256

I always get <|im_end|> at the end of response. This is sample output

User: Hi

Llama: Hi! How can I help you today?<|im_end|>

User: who are you?

Llama: My name is Llama, I am a large language model created by Alibaba Cloud.<|im_end|>

Am I missing something?

JustinLin610

Apr 24, 2024

No this is not the right way to use the model. You need to use ChatML and you'd better use our system prompt. Check this command:

./main -m qwen1_5-7b-chat-q5_k_m.gguf -n 512 --color -i -cml -f prompts/chat-with-qwen.txt

https://qwen.readthedocs.io/en/latest/run_locally/llama.cpp.html this is a simple doc for the reference.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment