Instructions to use rustformers/bloomz-ggml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rustformers/bloomz-ggml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="rustformers/bloomz-ggml")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rustformers/bloomz-ggml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use rustformers/bloomz-ggml with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "rustformers/bloomz-ggml" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rustformers/bloomz-ggml", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/rustformers/bloomz-ggml
- SGLang
How to use rustformers/bloomz-ggml 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 "rustformers/bloomz-ggml" \ --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": "rustformers/bloomz-ggml", "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 "rustformers/bloomz-ggml" \ --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": "rustformers/bloomz-ggml", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use rustformers/bloomz-ggml with Docker Model Runner:
docker model run hf.co/rustformers/bloomz-ggml
Upload new model file: 'bloomz-1b1-f16.bin'
Browse files- bloomz-1b1-f16.bin +3 -0
- bloomz-1b1-f16.meta +9 -0
bloomz-1b1-f16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1bef236cc086d509892cd230e2c5c864989fd345c5dbe131f2ab307ea91770e6
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size 2905509163
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bloomz-1b1-f16.meta
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{
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"model": "Bloom",
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"quantization": "F16",
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"quantization_version": "Not_Quantized",
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"container": "GGML",
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"converter": "llm-rs",
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"hash": "d34eddc7c2eccc55bb2b1899c4eddc12017f6a54a3d9bae501894de8ceb565be",
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"base_model": "bigscience/bloomz-1b1"
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}
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