Instructions to use OpenMOSS-Team/moss-moon-003-sft-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/moss-moon-003-sft-int4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OpenMOSS-Team/moss-moon-003-sft-int4", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/moss-moon-003-sft-int4", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use OpenMOSS-Team/moss-moon-003-sft-int4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OpenMOSS-Team/moss-moon-003-sft-int4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenMOSS-Team/moss-moon-003-sft-int4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OpenMOSS-Team/moss-moon-003-sft-int4
- SGLang
How to use OpenMOSS-Team/moss-moon-003-sft-int4 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 "OpenMOSS-Team/moss-moon-003-sft-int4" \ --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": "OpenMOSS-Team/moss-moon-003-sft-int4", "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 "OpenMOSS-Team/moss-moon-003-sft-int4" \ --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": "OpenMOSS-Team/moss-moon-003-sft-int4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OpenMOSS-Team/moss-moon-003-sft-int4 with Docker Model Runner:
docker model run hf.co/OpenMOSS-Team/moss-moon-003-sft-int4
Adding `safetensors` variant of this model
#9 opened 12 months ago
by
SFconvertbot
raise KeyError(key) from None KeyError: 'HOME'
#8 opened almost 3 years ago
by
rabbit18snow
🚩 Report : Ethical issue(s)
1
#7 opened almost 3 years ago
by
lnp111
调用推理接口error:set the option `trust_remote_code=True` to remove this error.
#6 opened almost 3 years ago
by
qqshao
报错:TypeError: '<' not supported between instances of 'tuple' and 'float'
#5 opened about 3 years ago
by
gzchenk
Single GPU时:No module named 'transformers_modules.moss-moon-003-sft-int4.custom_autotune'
8
#4 opened about 3 years ago
by
xiabo0816
pip install torch==1.13.1+cu117
1
#3 opened about 3 years ago
by
jinzhou
推理时加载模型报错:缺少文件
#2 opened about 3 years ago
by
wuxianghou