Text Generation
Transformers
Safetensors
English
stablelm_epoch
gpt
llm
large language model
PAIX.Cloud
custom_code
Instructions to use PAIXAI/Astrid-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PAIXAI/Astrid-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="PAIXAI/Astrid-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("PAIXAI/Astrid-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use PAIXAI/Astrid-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "PAIXAI/Astrid-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "PAIXAI/Astrid-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/PAIXAI/Astrid-3B
- SGLang
How to use PAIXAI/Astrid-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 "PAIXAI/Astrid-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": "PAIXAI/Astrid-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 "PAIXAI/Astrid-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": "PAIXAI/Astrid-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use PAIXAI/Astrid-3B with Docker Model Runner:
docker model run hf.co/PAIXAI/Astrid-3B
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- large language model
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- PAIX.Cloud
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inference: true
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---
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# Model Card
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## Summary
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This model, Astrid-3B, is a StableLMEpochModel model for causal language modeling, designed to generate human-like text.
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It's part of our mission to make AI technology accessible to everyone, focusing on personalization, data privacy, and transparent AI governance.
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Trained in English, it's a versatile tool for a variety of applications.
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- large language model
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- PAIX.Cloud
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inference: true
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thumbnail: >-
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https://static.wixstatic.com/media/bdee4e_8aa5cefc86024bc88f7e20e3e19d9ff3~mv2.png/v1/fill/w_192%2Ch_192%2Clg_1%2Cusm_0.66_1.00_0.01/bdee4e_8aa5cefc86024bc88f7e20e3e19d9ff3~mv2.png
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license: apache-2.0
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---
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# Model Card
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## Summary
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This model, Astrid-3B, is a StableLMEpochModel model for causal language modeling, designed to generate human-like text.
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It's part of our mission to make AI technology accessible to everyone, focusing on personalization, data privacy, and transparent AI governance.
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Trained in English, it's a versatile tool for a variety of applications.
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