Instructions to use ApocalypseParty/G4-31B-Exp-1-ConfigB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ApocalypseParty/G4-31B-Exp-1-ConfigB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ApocalypseParty/G4-31B-Exp-1-ConfigB")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("ApocalypseParty/G4-31B-Exp-1-ConfigB") model = AutoModelForImageTextToText.from_pretrained("ApocalypseParty/G4-31B-Exp-1-ConfigB") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ApocalypseParty/G4-31B-Exp-1-ConfigB with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ApocalypseParty/G4-31B-Exp-1-ConfigB" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ApocalypseParty/G4-31B-Exp-1-ConfigB", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ApocalypseParty/G4-31B-Exp-1-ConfigB
- SGLang
How to use ApocalypseParty/G4-31B-Exp-1-ConfigB 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 "ApocalypseParty/G4-31B-Exp-1-ConfigB" \ --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": "ApocalypseParty/G4-31B-Exp-1-ConfigB", "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 "ApocalypseParty/G4-31B-Exp-1-ConfigB" \ --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": "ApocalypseParty/G4-31B-Exp-1-ConfigB", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ApocalypseParty/G4-31B-Exp-1-ConfigB with Docker Model Runner:
docker model run hf.co/ApocalypseParty/G4-31B-Exp-1-ConfigB
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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