Text Generation
Transformers
Safetensors
Japanese
stablelm_epoch
japanese-stablelm
causal-lm
custom_code
Instructions to use stabilityai/japanese-stablelm-3b-4e1t-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stabilityai/japanese-stablelm-3b-4e1t-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="stabilityai/japanese-stablelm-3b-4e1t-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stabilityai/japanese-stablelm-3b-4e1t-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use stabilityai/japanese-stablelm-3b-4e1t-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "stabilityai/japanese-stablelm-3b-4e1t-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stabilityai/japanese-stablelm-3b-4e1t-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/stabilityai/japanese-stablelm-3b-4e1t-base
- SGLang
How to use stabilityai/japanese-stablelm-3b-4e1t-base 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/japanese-stablelm-3b-4e1t-base" \ --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/japanese-stablelm-3b-4e1t-base", "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/japanese-stablelm-3b-4e1t-base" \ --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/japanese-stablelm-3b-4e1t-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use stabilityai/japanese-stablelm-3b-4e1t-base with Docker Model Runner:
docker model run hf.co/stabilityai/japanese-stablelm-3b-4e1t-base
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README.md
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* **Model type**: `Japanese StableLM-3B-4E1T Base` model is an auto-regressive language models based on the transformer decoder architecture.
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* **Language(s)**: Japanese
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* **License**: This model is licensed under [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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* **Contact**: For questions and comments about the model, please join [Stable Community Japan](https://discord.
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### Model Architecture
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* **Model type**: `Japanese StableLM-3B-4E1T Base` model is an auto-regressive language models based on the transformer decoder architecture.
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* **Language(s)**: Japanese
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* **License**: This model is licensed under [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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* **Contact**: For questions and comments about the model, please join [Stable Community Japan](https://discord.gg/StableJP). For future announcements / information about Stability AI models, research, and events, please follow https://twitter.com/StabilityAI_JP.
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### Model Architecture
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