Instructions to use hatbirb/cnuyGPT_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hatbirb/cnuyGPT_backup with Transformers:

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

pipe = pipeline("text-generation", model="hatbirb/cnuyGPT_backup")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("hatbirb/cnuyGPT_backup")
model = AutoModelForCausalLM.from_pretrained("hatbirb/cnuyGPT_backup", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use hatbirb/cnuyGPT_backup with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/hatbirb/cnuyGPT_backup

SGLang

How to use hatbirb/cnuyGPT_backup 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 "hatbirb/cnuyGPT_backup" \
    --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": "hatbirb/cnuyGPT_backup",
		"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 "hatbirb/cnuyGPT_backup" \
        --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": "hatbirb/cnuyGPT_backup",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use hatbirb/cnuyGPT_backup with Docker Model Runner:
```
docker model run hf.co/hatbirb/cnuyGPT_backup
```

cnuyGPT_backup

Commit History

May 18, 2025

00:24
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
1261611

Jun 19, 2024

23:35
Upload pytorch_model-00004-of-00004.bin

hatbirb

Verified signature
34c99ae
17:56
Upload pytorch_model-00003-of-00004.bin

hatbirb

Verified signature
290d21c
16:32
Upload pytorch_model-00002-of-00004.bin

hatbirb

Verified signature
c1a493e
13:14
Upload pytorch_model-00001-of-00004.bin

hatbirb

Verified signature
a7e9d13

Jun 18, 2024

23:44
Upload 7 files

hatbirb

Verified signature
2bd09d7
23:36
initial commit

hatbirb

Verified signature
c3f048a

Commit History

May 18, 2025

Adding `safetensors` variant of this model⁠

Jun 19, 2024

Upload pytorch_model-00004-of-00004.bin

Upload pytorch_model-00003-of-00004.bin

Upload pytorch_model-00002-of-00004.bin

Upload pytorch_model-00001-of-00004.bin

Jun 18, 2024

Upload 7 files

initial commit