Instructions to use joaoalvarenga/bloom-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/bloom-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="joaoalvarenga/bloom-8bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("joaoalvarenga/bloom-8bit") model = AutoModelForCausalLM.from_pretrained("joaoalvarenga/bloom-8bit") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use joaoalvarenga/bloom-8bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "joaoalvarenga/bloom-8bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "joaoalvarenga/bloom-8bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/joaoalvarenga/bloom-8bit
- SGLang
How to use joaoalvarenga/bloom-8bit 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 "joaoalvarenga/bloom-8bit" \ --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": "joaoalvarenga/bloom-8bit", "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 "joaoalvarenga/bloom-8bit" \ --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": "joaoalvarenga/bloom-8bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use joaoalvarenga/bloom-8bit with Docker Model Runner:
docker model run hf.co/joaoalvarenga/bloom-8bit
Failed to run due to bitsandbyes, after fixing a few errors including missing imports
#10
by zsc - opened
https://gist.github.com/zsc/8d808711b895ebee5a9f10f170c3ff2e
Now it died with (only last line is the error message) :
2023-01-21 10:17:11.676278
Setting `pad_token_id` to `eos_token_id`:2 for open-end generation.
Error invalid configuration argument at line 98 in file /mmfs1/gscratch/zlab/timdettmers/git/bitsandbytes/csrc/ops.cu
The above error should be due to complex version problems of CUDA/CuDNN + bitsandbytes, and not due to this repo.
zsc changed discussion status to closed