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")# pip install -U transformers accelerate # 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", device_map="auto") - 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
Commit History
-
Update README.md
Verified signatureeba764d -
Update README.md
Verified signature2fddf1a
-
Update README.md
Verified signatured49883d
-
Update README.md
c4d2617 -
Update README.md
0a1a037 -
Update README.md
29a1aa3 -
Update README.md
37d4f05 -
Update README.md
068a202 -
Upload model-00003-of-00003.safetensors
59f1898 -
Upload model-00002-of-00003.safetensors
a890d0b -
Upload model-00001-of-00003.safetensors
f31ad31
-
Upload 6 files
39879ce -
Update README.md
010e481 -
Create README.md
a7f3bb6 -
Upload sydney_overthinker2.jpg
a80114a -
initial commit
7ee6087