Instructions to use botbotrobotics/Cabra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botbotrobotics/Cabra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="botbotrobotics/Cabra")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("botbotrobotics/Cabra") model = AutoModelForCausalLM.from_pretrained("botbotrobotics/Cabra") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use botbotrobotics/Cabra with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "botbotrobotics/Cabra" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "botbotrobotics/Cabra", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/botbotrobotics/Cabra
- SGLang
How to use botbotrobotics/Cabra 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 "botbotrobotics/Cabra" \ --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": "botbotrobotics/Cabra", "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 "botbotrobotics/Cabra" \ --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": "botbotrobotics/Cabra", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use botbotrobotics/Cabra with Docker Model Runner:
docker model run hf.co/botbotrobotics/Cabra
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**Conheça os nossos modelos
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O Cabra 7b é um qlora finetune do [LLaMA 2 7b Chat](https://huggingface.co/meta-llama/Llama-2-7b-chat) usando o dataset [PortugueseDolly]( https://huggingface.co/datasets/nicolasdec/PortugueseDolly), tradução do [Databricks Dolly 15k]( https://huggingface.co/datasets/databricks/databricks-dolly-15k).
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**Conheça os nossos outros modelos (bem melhores): [Cabra](https://huggingface.co/collections/botbot-ai/models-6604c2069ceef04f834ba99b)**
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O Cabra 7b é um qlora finetune do [LLaMA 2 7b Chat](https://huggingface.co/meta-llama/Llama-2-7b-chat) usando o dataset [PortugueseDolly]( https://huggingface.co/datasets/nicolasdec/PortugueseDolly), tradução do [Databricks Dolly 15k]( https://huggingface.co/datasets/databricks/databricks-dolly-15k).
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