Instructions to use Norquinal/PetrolOrca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Norquinal/PetrolOrca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Norquinal/PetrolOrca")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Norquinal/PetrolOrca") model = AutoModelForCausalLM.from_pretrained("Norquinal/PetrolOrca") - Inference
- Local Apps Settings
- vLLM
How to use Norquinal/PetrolOrca with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Norquinal/PetrolOrca" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Norquinal/PetrolOrca", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Norquinal/PetrolOrca
- SGLang
How to use Norquinal/PetrolOrca 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 "Norquinal/PetrolOrca" \ --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": "Norquinal/PetrolOrca", "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 "Norquinal/PetrolOrca" \ --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": "Norquinal/PetrolOrca", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Norquinal/PetrolOrca with Docker Model Runner:
docker model run hf.co/Norquinal/PetrolOrca
Update tokenizer_config.json
Browse files- tokenizer_config.json +0 -1
tokenizer_config.json
CHANGED
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@@ -53,7 +53,6 @@
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"tokenizer_file": "/home/wing/.cache/huggingface/hub/models--mistralai--Mistral-7B-v0.1/snapshots/78814a934d8ce59ee93599378f3e929ff137da06/tokenizer.json",
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"trust_remote_code": false,
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"unk_token": "<unk>",
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"use_default_system_prompt": true,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"trust_remote_code": false,
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"unk_token": "<unk>",
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"use_default_system_prompt": true,
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