Instructions to use codefuse-ai/CodeFuse-CodeLlama-34B-4bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use codefuse-ai/CodeFuse-CodeLlama-34B-4bits with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="codefuse-ai/CodeFuse-CodeLlama-34B-4bits")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/CodeFuse-CodeLlama-34B-4bits")
model = AutoModelForCausalLM.from_pretrained("codefuse-ai/CodeFuse-CodeLlama-34B-4bits")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use codefuse-ai/CodeFuse-CodeLlama-34B-4bits with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "codefuse-ai/CodeFuse-CodeLlama-34B-4bits"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codefuse-ai/CodeFuse-CodeLlama-34B-4bits",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/codefuse-ai/CodeFuse-CodeLlama-34B-4bits

SGLang

How to use codefuse-ai/CodeFuse-CodeLlama-34B-4bits with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "codefuse-ai/CodeFuse-CodeLlama-34B-4bits" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codefuse-ai/CodeFuse-CodeLlama-34B-4bits",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "codefuse-ai/CodeFuse-CodeLlama-34B-4bits" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codefuse-ai/CodeFuse-CodeLlama-34B-4bits",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use codefuse-ai/CodeFuse-CodeLlama-34B-4bits with Docker Model Runner:
```
docker model run hf.co/codefuse-ai/CodeFuse-CodeLlama-34B-4bits
```

CodeFuse-CodeLlama-34B-4bits

Commit History

Add metadata in the model card

3e2aac7
verified

twelveand0 commited on Mar 15, 2025

Update README.md (#2)

14c11c4

chencyudel

goforce5500 commited on Nov 29, 2023

Update README.md

444fe8f

jglee2046 commited on Nov 7, 2023

Update README.md

961a994

jglee2046 commited on Nov 7, 2023

Upload requirements.txt

7dd4ec3

codefuse-admin commited on Oct 26, 2023

Upload LOGO.png

5aebb49

codefuse-admin commited on Oct 23, 2023

Update README.md

f9fe176

codefuse-admin commited on Sep 27, 2023

Update README.md

cffbce0

codefuse-admin commited on Sep 27, 2023

first commit

d38f5d1

Jintao Huang commited on Sep 27, 2023

initial commit

bd5b613

C.F.A commited on Sep 27, 2023

Commit History

Add metadata in the model card 3e2aac7 verified

Update README.md (#2) 14c11c4

Update README.md 444fe8f

Update README.md 961a994

Upload requirements.txt 7dd4ec3

Upload LOGO.png 5aebb49

Update README.md f9fe176

Update README.md cffbce0

first commit d38f5d1

initial commit bd5b613