Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bloom
Eval Results (legacy)
text-generation-inference
Instructions to use bigscience/bloomz-p3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/bloomz-p3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigscience/bloomz-p3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-p3") model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-p3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use bigscience/bloomz-p3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigscience/bloomz-p3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigscience/bloomz-p3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigscience/bloomz-p3
- SGLang
How to use bigscience/bloomz-p3 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 "bigscience/bloomz-p3" \ --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": "bigscience/bloomz-p3", "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 "bigscience/bloomz-p3" \ --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": "bigscience/bloomz-p3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigscience/bloomz-p3 with Docker Model Runner:
docker model run hf.co/bigscience/bloomz-p3
Commit History
-
Adding `safetensors` variant of this model (#3)
Verified signature- Adding `safetensors` variant of this model (a37552ded417d77ec3257b2906e8134cf023c390) Co-authored-by: Safetensors convertbot <[email protected]>b94950d
-
Update README.md
f7a3893
-
Fix architecture (#2)
- Fix architecture (efbdc6aaece12fdfab49f68bb479ac6c8daf5722) Co-authored-by: Lewis Tunstall <[email protected]>1d38c37
-
Correct pos
0c7b3ab
-
Make scrollable
dfffcc2 -
Disable inference widget
51f3d0d
-
Remove eval (Moved to bigscience/evaluation-results)
e34eaaf
-
Create README.md
ed6aedd
-
Organize files
b53b384
-
Add files
aa2424b -
Add files
6902ef0 -
Add files
cc64a2b -
Add files
7af9cc9 -
Add files
70797dc -
Add files
4129629 -
Add files
7ac1690 -
Add files
30005fa
-
initial commit
937e96b