Instructions to use OEvortex/HelpingAI-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OEvortex/HelpingAI-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OEvortex/HelpingAI-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OEvortex/HelpingAI-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use OEvortex/HelpingAI-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OEvortex/HelpingAI-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OEvortex/HelpingAI-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OEvortex/HelpingAI-3B
- SGLang
How to use OEvortex/HelpingAI-3B 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 "OEvortex/HelpingAI-3B" \ --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": "OEvortex/HelpingAI-3B", "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 "OEvortex/HelpingAI-3B" \ --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": "OEvortex/HelpingAI-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OEvortex/HelpingAI-3B with Docker Model Runner:
docker model run hf.co/OEvortex/HelpingAI-3B
Update README.md
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README.md
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@@ -67,7 +67,7 @@ system = "You are an adaptive and versatile AI assistant, ready to help with var
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insaan = "Hey HelpingAI, how's it going?"
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# Now we combine system and user messages into the template, like adding sprinkles to our conversation cupcake
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prompt = prompt.format(system=system,
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# Time to chat! We'll use the tokenizer to translate our text into a language the model understands
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inputs = tokenizer(prompt, return_tensors="pt", return_attention_mask=False).to("cuda")
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insaan = "Hey HelpingAI, how's it going?"
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# Now we combine system and user messages into the template, like adding sprinkles to our conversation cupcake
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prompt = prompt.format(system=system, insaan=insaan)
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# Time to chat! We'll use the tokenizer to translate our text into a language the model understands
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inputs = tokenizer(prompt, return_tensors="pt", return_attention_mask=False).to("cuda")
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