Instructions to use GlitchGhost/Anti-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GlitchGhost/Anti-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GlitchGhost/Anti-1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("GlitchGhost/Anti-1") model = AutoModelForCausalLM.from_pretrained("GlitchGhost/Anti-1") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use GlitchGhost/Anti-1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GlitchGhost/Anti-1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GlitchGhost/Anti-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/GlitchGhost/Anti-1
- SGLang
How to use GlitchGhost/Anti-1 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 "GlitchGhost/Anti-1" \ --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": "GlitchGhost/Anti-1", "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 "GlitchGhost/Anti-1" \ --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": "GlitchGhost/Anti-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use GlitchGhost/Anti-1 with Docker Model Runner:
docker model run hf.co/GlitchGhost/Anti-1
Model Card for Model ID
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Abhijeet Singh
Model Sources [optional]
Training Details
This is a custom small-scale language model based on the GPT-2 architecture, trained using a combination of Wikipedia and TinyStories datasets. Designed for efficient text generation, it balances factual knowledge with a storytelling touch. The model has been fine-tuned with optimized training configurations to enhance fluency and coherence, making it suitable for creative writing, knowledge retrieval, and conversational AI applications.
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