Text Generation
Transformers
GGUF
PyTorch
English
sage_1b
language-model
transformer
from-scratch
tiny-stories
Instructions to use itriedcoding/Sage-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itriedcoding/Sage-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="itriedcoding/Sage-1B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("itriedcoding/Sage-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use itriedcoding/Sage-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "itriedcoding/Sage-1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "itriedcoding/Sage-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/itriedcoding/Sage-1B
- SGLang
How to use itriedcoding/Sage-1B 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 "itriedcoding/Sage-1B" \ --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": "itriedcoding/Sage-1B", "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 "itriedcoding/Sage-1B" \ --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": "itriedcoding/Sage-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use itriedcoding/Sage-1B with Docker Model Runner:
docker model run hf.co/itriedcoding/Sage-1B
- Xet hash:
- 7da6d9be29d9bb1dff51b76b1e0b9d70b99664d4acb9fd9a6c6d5bea47424189
- Size of remote file:
- 2.57 GB
- SHA256:
- da1c2d30d0308e59ac959be41233f10c6ca18e2a76e38024ee77edd9223a091b
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