Instructions to use Siliconic/raven-x-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siliconic/raven-x-1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Siliconic/raven-x-1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Siliconic/raven-x-1.1") model = AutoModelForCausalLM.from_pretrained("Siliconic/raven-x-1.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Siliconic/raven-x-1.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Siliconic/raven-x-1.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Siliconic/raven-x-1.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Siliconic/raven-x-1.1
- SGLang
How to use Siliconic/raven-x-1.1 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 "Siliconic/raven-x-1.1" \ --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": "Siliconic/raven-x-1.1", "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 "Siliconic/raven-x-1.1" \ --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": "Siliconic/raven-x-1.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Siliconic/raven-x-1.1 with Docker Model Runner:
docker model run hf.co/Siliconic/raven-x-1.1
Raven-X-1.1
Raven-X model v1.1 by Siliconic Technologies. Delta model upgradation and 32-bit quantization for raven-x-001. This is a custom model for Raven AI. This model is a modified version of vicuna-13b-delta and llama model, trained on oasst, chatgpt, sharegpt datasets and wikipedia. Created and Fine-tuned by Akshit Kumar. Raven AI System is a modified version of Visda AI System.
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