Instructions to use ybelkada/bloom-1b7-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/bloom-1b7-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ybelkada/bloom-1b7-8bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/bloom-1b7-8bit") model = AutoModelForCausalLM.from_pretrained("ybelkada/bloom-1b7-8bit") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ybelkada/bloom-1b7-8bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ybelkada/bloom-1b7-8bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ybelkada/bloom-1b7-8bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ybelkada/bloom-1b7-8bit
- SGLang
How to use ybelkada/bloom-1b7-8bit 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 "ybelkada/bloom-1b7-8bit" \ --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": "ybelkada/bloom-1b7-8bit", "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 "ybelkada/bloom-1b7-8bit" \ --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": "ybelkada/bloom-1b7-8bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ybelkada/bloom-1b7-8bit with Docker Model Runner:
docker model run hf.co/ybelkada/bloom-1b7-8bit
Upload tokenizer
Browse files- .gitattributes +1 -0
- special_tokens_map.json +6 -0
- tokenizer.json +3 -0
- tokenizer_config.json +11 -0
.gitattributes
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{
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f6efc66e73f1fd69da4f436e48befb519fdff3fe18910850c1d41bd862293a5
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size 14500443
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tokenizer_config.json
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"bos_token": "<s>",
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"padding_side": "left",
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"special_tokens_map_file": null,
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"tokenizer_class": "BloomTokenizer",
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"unk_token": "<unk>"
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}
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