Instructions to use rustformers/stablelm-ggml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rustformers/stablelm-ggml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="rustformers/stablelm-ggml")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rustformers/stablelm-ggml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use rustformers/stablelm-ggml with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "rustformers/stablelm-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/stablelm-ggml", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/rustformers/stablelm-ggml
- SGLang
How to use rustformers/stablelm-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/stablelm-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/stablelm-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/stablelm-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/stablelm-ggml", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use rustformers/stablelm-ggml with Docker Model Runner:
docker model run hf.co/rustformers/stablelm-ggml
Upload new model file: 'stablelm-tuned-alpha-7b-q4_0-ggjt.bin'
Browse files
stablelm-tuned-alpha-7b-q4_0-ggjt.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:18cd7a2bea70910bcbad9358ee99282ba95ba6904dde9b454308283dd19e0fa3
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size 4431341280
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stablelm-tuned-alpha-7b-q4_0-ggjt.meta
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{
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"model": "GptNeoX",
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"quantization": "Q4_0",
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"quantization_version": "V2",
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"container": "GGJT",
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"converter": "llm-rs",
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"hash": "9a978ef3e05b13864894cb4a2219bcb312e140398cfb6ff1e8052f2124ede920",
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"base_model": "stabilityai/stablelm-tuned-alpha-7b"
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}
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