Instructions to use BernaLabs/berna-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BernaLabs/berna-r8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BernaLabs/berna-r8")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BernaLabs/berna-r8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BernaLabs/berna-r8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BernaLabs/berna-r8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BernaLabs/berna-r8", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BernaLabs/berna-r8
- SGLang
How to use BernaLabs/berna-r8 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 "BernaLabs/berna-r8" \ --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": "BernaLabs/berna-r8", "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 "BernaLabs/berna-r8" \ --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": "BernaLabs/berna-r8", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BernaLabs/berna-r8 with Docker Model Runner:
docker model run hf.co/BernaLabs/berna-r8
File size: 545 Bytes
d997548 | 1 2 3 4 5 6 7 8 9 10 11 | {
"version": "v1",
"model_uuid": "mother-001",
"description": "Facets taxonomy for Mother (eng + math + code only). Children extend this with their own domains.",
"domains": {
"english": ["grammar", "vocabulary", "style", "rhetoric", "comprehension", "composition", "idioms", "register"],
"math": ["arithmetic", "algebra", "geometry", "calculus", "logic", "proof", "statistics", "number_theory"],
"code": ["syntax", "algorithms", "data_structures", "debugging", "design_patterns", "testing", "performance", "security"]
}
}
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