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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("botbotrobotics/Cabra") model = AutoModelForCausalLM.from_pretrained("botbotrobotics/Cabra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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
Commit History
-
Fixing some errors of the leaderboard evaluation results in the ModelCard yaml
Verified signatureThe name of a few benchmarks are incorrect on the model metadata. This commit fixes some minor errors of the [last PR](1) on the ModelCard YAML metadata.2e68bed
-
Adding the Open Portuguese LLM Leaderboard Evaluation Results
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard The purpose of this PR is to add evaluation results from the Open Portuguese LLM Leaderboard to your model card. If you encounter any issues, please report them to https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard/discussions9484868
-
Update README.md
Verified signatured6e2d34 -
Update README.md
Verified signature96772a3
-
Update README.md
Verified signature0898b7c
-
Update README.md
b0b2da1 -
Create README.md
aeacdd3
-
Upload tokenizer
157bdd6 -
Upload LlamaForCausalLM
0684717 -
initial commit
ef7d51c