Instructions to use sayanbhatia/2ndGradeLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sayanbhatia/2ndGradeLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sayanbhatia/2ndGradeLLM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sayanbhatia/2ndGradeLLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use sayanbhatia/2ndGradeLLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sayanbhatia/2ndGradeLLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sayanbhatia/2ndGradeLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/sayanbhatia/2ndGradeLLM
- SGLang
How to use sayanbhatia/2ndGradeLLM 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 "sayanbhatia/2ndGradeLLM" \ --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": "sayanbhatia/2ndGradeLLM", "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 "sayanbhatia/2ndGradeLLM" \ --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": "sayanbhatia/2ndGradeLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use sayanbhatia/2ndGradeLLM with Docker Model Runner:
docker model run hf.co/sayanbhatia/2ndGradeLLM
| { | |
| "intervention_constant_sources": [ | |
| true | |
| ], | |
| "intervention_dimensions": [ | |
| 2048 | |
| ], | |
| "intervention_types": [ | |
| "<class 'pyreft.interventions.LoreftIntervention'>" | |
| ], | |
| "mode": "parallel", | |
| "representations": [ | |
| [ | |
| 8, | |
| "block_output", | |
| "pos", | |
| 1, | |
| 4, | |
| null, | |
| null, | |
| null, | |
| null, | |
| null, | |
| null, | |
| null, | |
| null | |
| ] | |
| ], | |
| "sorted_keys": [ | |
| "layer.8.comp.block_output.unit.pos.nunit.1#0" | |
| ], | |
| "transformers_version": "4.40.2" | |
| } | |