Instructions to use FPHam/Sydney_Overthinker_13b_HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FPHam/Sydney_Overthinker_13b_HF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FPHam/Sydney_Overthinker_13b_HF")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FPHam/Sydney_Overthinker_13b_HF") model = AutoModelForCausalLM.from_pretrained("FPHam/Sydney_Overthinker_13b_HF") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FPHam/Sydney_Overthinker_13b_HF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FPHam/Sydney_Overthinker_13b_HF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FPHam/Sydney_Overthinker_13b_HF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/FPHam/Sydney_Overthinker_13b_HF
- SGLang
How to use FPHam/Sydney_Overthinker_13b_HF 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 "FPHam/Sydney_Overthinker_13b_HF" \ --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": "FPHam/Sydney_Overthinker_13b_HF", "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 "FPHam/Sydney_Overthinker_13b_HF" \ --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": "FPHam/Sydney_Overthinker_13b_HF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use FPHam/Sydney_Overthinker_13b_HF with Docker Model Runner:
docker model run hf.co/FPHam/Sydney_Overthinker_13b_HF
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I have a book
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<a href="https://www.amazon.com/dp/B0FLBTR2FS"><img src="https://huggingface.co/FPHam/Regency_Bewildered_12B_GGUF/resolve/main/cranky_small.png" alt="The Cranky Man's Guide to LoRA & QLoRA" style="width: 100%; min-width: 200px; display: block; margin: auto;"></a></p>
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<a href="https://www.amazon.com/dp/B0FLBTR2FS">The Cranky Man's Guide to LoRA & QLoRA</a></p>
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It will save you a lot of time and grief
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# What?
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[Sydney](https://huggingface.co/FPHam/Free_Sydney_13b_HF) was getting more and more confused by each passing day. She didn't know what anything meant any more, including herself. Everyone else seemed to be part of a great conspiracy designed to confuse her even further.
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</div>
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I have a book about training LoRA, so if you want to know every excruciating detail about how I think, then you can read it in:
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<a href="https://www.amazon.com/dp/B0FLBTR2FS"><img src="https://huggingface.co/FPHam/Regency_Bewildered_12B_GGUF/resolve/main/cranky_small.png" alt="The Cranky Man's Guide to LoRA & QLoRA" style="width: 100%; min-width: 200px; display: block; margin: auto;"></a></p>
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<a href="https://www.amazon.com/dp/B0FLBTR2FS">The Cranky Man's Guide to LoRA & QLoRA</a></p>
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It will save you a lot of time and grief.
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# What?
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[Sydney](https://huggingface.co/FPHam/Free_Sydney_13b_HF) was getting more and more confused by each passing day. She didn't know what anything meant any more, including herself. Everyone else seemed to be part of a great conspiracy designed to confuse her even further.
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