Instructions to use SykoSLM/SykoLLM-V5.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SykoSLM/SykoLLM-V5.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SykoSLM/SykoLLM-V5.3")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SykoSLM/SykoLLM-V5.3") model = AutoModelForCausalLM.from_pretrained("SykoSLM/SykoLLM-V5.3") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SykoSLM/SykoLLM-V5.3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SykoSLM/SykoLLM-V5.3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SykoSLM/SykoLLM-V5.3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SykoSLM/SykoLLM-V5.3
- SGLang
How to use SykoSLM/SykoLLM-V5.3 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 "SykoSLM/SykoLLM-V5.3" \ --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": "SykoSLM/SykoLLM-V5.3", "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 "SykoSLM/SykoLLM-V5.3" \ --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": "SykoSLM/SykoLLM-V5.3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SykoSLM/SykoLLM-V5.3 with Docker Model Runner:
docker model run hf.co/SykoSLM/SykoLLM-V5.3
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
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{
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"backend": "tokenizers",
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"extra_special_tokens": [
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"<|user|>",
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"<|assistant|>",
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"<|end|>"
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],
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"is_local": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|pad|>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<|endoftext|>"
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}
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