Instructions to use aiplanet/effi-13b-quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiplanet/effi-13b-quant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aiplanet/effi-13b-quant")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("aiplanet/effi-13b-quant") model = AutoModelForCausalLM.from_pretrained("aiplanet/effi-13b-quant") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use aiplanet/effi-13b-quant with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aiplanet/effi-13b-quant" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aiplanet/effi-13b-quant", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/aiplanet/effi-13b-quant
- SGLang
How to use aiplanet/effi-13b-quant 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 "aiplanet/effi-13b-quant" \ --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": "aiplanet/effi-13b-quant", "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 "aiplanet/effi-13b-quant" \ --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": "aiplanet/effi-13b-quant", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use aiplanet/effi-13b-quant with Docker Model Runner:
docker model run hf.co/aiplanet/effi-13b-quant
Chanukya Patnaik commited on
Commit ·
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Parent(s): 562a3d3
Update README.md
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README.md
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@@ -137,7 +137,7 @@ print(f"Generated instruction:\n{tokenizer.batch_decode(outputs.detach().cpu().n
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```
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@misc {Plaban81,
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author = { {Plaban Nayak} },
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title = { effi-13b },
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year = 2023,
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url = { https://huggingface.co/aiplanet/effi-13b },
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publisher = { Hugging Face }
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```
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@misc {Plaban81,
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author = { {Plaban Nayak} },
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title = { Quantized version of effi-13b by AI Planet},
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year = 2023,
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url = { https://huggingface.co/aiplanet/effi-13b },
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publisher = { Hugging Face }
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