Text Generation
Transformers
Safetensors
English
phi
pretrained
phi-2
custom_code
text-generation-inference
Instructions to use AstraMindAI/AstraQuasar-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AstraMindAI/AstraQuasar-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AstraMindAI/AstraQuasar-4B", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AstraMindAI/AstraQuasar-4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AstraMindAI/AstraQuasar-4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AstraMindAI/AstraQuasar-4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AstraMindAI/AstraQuasar-4B
- SGLang
How to use AstraMindAI/AstraQuasar-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 "AstraMindAI/AstraQuasar-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": "AstraMindAI/AstraQuasar-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 "AstraMindAI/AstraQuasar-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": "AstraMindAI/AstraQuasar-4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AstraMindAI/AstraQuasar-4B with Docker Model Runner:
docker model run hf.co/AstraMindAI/AstraQuasar-4B
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the Software, except as modified herein:
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Notwithstanding any other provision of this License, AstraMind reserves
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the right to modify the terms of the License for future versions of
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The goal of this provision is to allow AstraMind the flexibility to respond
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to changing legal, technical, or business environments.
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For clarity, this provision does not affect the License as it applies to versions
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of The Software that have already been released under the Quasar License,
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Version 1.0, prior to any such modification or termination of the License
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for future versions.
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END OF TERMS AND CONDITIONS
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Copyright 2024 AstraMindAI
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Licensed under the Quasar License, Version 1.0 (the "License");
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you may not use this file except in compliance with the License.
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