Instructions to use janhq/Jan-v1-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janhq/Jan-v1-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="janhq/Jan-v1-4B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("janhq/Jan-v1-4B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use janhq/Jan-v1-4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "janhq/Jan-v1-4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "janhq/Jan-v1-4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/janhq/Jan-v1-4B
- SGLang
How to use janhq/Jan-v1-4B 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 "janhq/Jan-v1-4B" \ --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": "janhq/Jan-v1-4B", "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 "janhq/Jan-v1-4B" \ --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": "janhq/Jan-v1-4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use janhq/Jan-v1-4B with Docker Model Runner:
docker model run hf.co/janhq/Jan-v1-4B
Add `do_sample`attr to generation_config (#10)
Browse files- Add `do_sample`attr in generation_config (f657f4e00fba9bf64641e6bb040d0e0be06cb21e)
Co-authored-by: Xiaoyu Zhang <johnucm@users.noreply.huggingface.co>
- generation_config.json +1 -0
generation_config.json
CHANGED
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@@ -4,6 +4,7 @@
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"eos_token_id": 151645,
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"transformers_version": "4.52.4",
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"use_cache": false,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"eos_token_id": 151645,
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"transformers_version": "4.52.4",
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"use_cache": false,
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+
"do_sample": true,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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