Instructions to use bigscience/bloomz-7b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bigscience/bloomz-7b1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="bigscience/bloomz-7b1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-7b1")
model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-7b1")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bigscience/bloomz-7b1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bigscience/bloomz-7b1"
# 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-7b1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bigscience/bloomz-7b1

SGLang

How to use bigscience/bloomz-7b1 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-7b1" \
    --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-7b1",
		"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-7b1" \
        --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-7b1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bigscience/bloomz-7b1 with Docker Model Runner:
```
docker model run hf.co/bigscience/bloomz-7b1
```

bloomz-7b1 / .gitattributes

Commit History

Adding `safetensors` variant of this model (#18)

fa72440
verified

cakiki

SFconvertbot commited on Feb 22, 2024

Logs

ed75a42

Muennighoff commited on Oct 9, 2022

Add files

899c702

Muennighoff commited on Sep 27, 2022

initial commit

f5692b9

Muennighoff commited on Sep 27, 2022

Commit History

Adding `safetensors` variant of this model (#18) fa72440 verified

Logs ed75a42

Add files 899c702

initial commit f5692b9

Adding `safetensors` variant of this model (#18)

fa72440
verified

Logs

ed75a42

Add files

899c702

initial commit

f5692b9