Instructions to use stabilityai/stablelm-3b-4e1t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stabilityai/stablelm-3b-4e1t with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="stabilityai/stablelm-3b-4e1t")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("stabilityai/stablelm-3b-4e1t") model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-3b-4e1t", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use stabilityai/stablelm-3b-4e1t with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "stabilityai/stablelm-3b-4e1t" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stabilityai/stablelm-3b-4e1t", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/stabilityai/stablelm-3b-4e1t
- SGLang
How to use stabilityai/stablelm-3b-4e1t 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 "stabilityai/stablelm-3b-4e1t" \ --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": "stabilityai/stablelm-3b-4e1t", "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 "stabilityai/stablelm-3b-4e1t" \ --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": "stabilityai/stablelm-3b-4e1t", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use stabilityai/stablelm-3b-4e1t with Docker Model Runner:
docker model run hf.co/stabilityai/stablelm-3b-4e1t
Commit History
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Adding Evaluation Results (#12)
Verified signature- Adding Evaluation Results (610e7bd4cf627f2fb69927b81e80a8cf108eba61) Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>fa4a6a9
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fix(README): remove `trust_remote_code` usage after `transformers==4.38.0` support
Verified signature77fd07d -
merge: upload transformers implementation (#10)
Verified signature- merge: upload `transformers` implementation (ef92c21fd57a2c5e79f220acd1bcf44a7bea5f54) - feat: use latest modeling code (26fc2dc83d3984e90a4a4b1819b31f19267cd184)0d7bbd4
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update(README): lift gate
Verified signature9449c7d
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fix(modeling): use correct `base_model_prefix` name
Verified signaturee3be657
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feat: add dropout support
b6e4fc1
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fix: make `flash_attn` optional (`trust_remote_code` breaks dynamic module check)
c24bc36
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feat: add flash attention v2 (#9)
- feat: add flash-attn v2 support (cf8afadea7c1a03555ced144818f6ef040a68f7d)556500a
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fix: remove `StableLMEpochForCausalLM.transformer` refs
c6554ba
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fix: rename incorrect access to model
5951257
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fix: init proper term
a4750ac
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Upload folder using huggingface_hub
Jonathan Tow846682b -
initial commit
88ff7b1