Instructions to use pfnet/plamo-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfnet/plamo-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pfnet/plamo-13b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("pfnet/plamo-13b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use pfnet/plamo-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pfnet/plamo-13b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pfnet/plamo-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/pfnet/plamo-13b
- SGLang
How to use pfnet/plamo-13b 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 "pfnet/plamo-13b" \ --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": "pfnet/plamo-13b", "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 "pfnet/plamo-13b" \ --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": "pfnet/plamo-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use pfnet/plamo-13b with Docker Model Runner:
docker model run hf.co/pfnet/plamo-13b
Commit History
3 days ago
-
Update README.md (#7)
- Update README.md (5b5f0e8df96dbfbab371e8e361b64280a7715e97) Co-authored-by: ota42y <ota42y@users.noreply.huggingface.co>7f9b557
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Merge remote-tracking branch 'origin/main' into release-1006
dhigurashi88237e8 -
Fixed beam search error when using multiple GPUs (#6)
- Fixed beam search error when using multiple GPUs (14a911cdcbe50c9fbaae49af6f26b3d981b30cde) Co-authored-by: Hiroki Yamaguchi <hibikaze@users.noreply.huggingface.co>d155d07
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Fix context length
dhigurashib26c18c -
remove unused weights
dhigurashi36ebac7 -
support transformers==4.34.0
dhigurashib0f6037 -
Fixed beam search error when using multiple GPUs
14a911c
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fix typo
dhigurashie28ebda -
remove safetensors dependency
dhigurashi28b7ead -
enable
dhigurashi42b1143 -
support Python3.8
dhigurashie321dc5
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add requirements
49cc9f0 -
update README
6344b73
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Upload folder using huggingface_hub
0c0c559 -
initial commit
Daiki Higurashi839f81e