Text Generation
Transformers
Safetensors
Korean
llama
meta
llama-2
llama-2-ko
text-generation-inference
Instructions to use URP/urllm-ko-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use URP/urllm-ko-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="URP/urllm-ko-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("URP/urllm-ko-7b") model = AutoModelForCausalLM.from_pretrained("URP/urllm-ko-7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use URP/urllm-ko-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "URP/urllm-ko-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "URP/urllm-ko-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/URP/urllm-ko-7b
- SGLang
How to use URP/urllm-ko-7b 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 "URP/urllm-ko-7b" \ --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": "URP/urllm-ko-7b", "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 "URP/urllm-ko-7b" \ --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": "URP/urllm-ko-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use URP/urllm-ko-7b with Docker Model Runner:
docker model run hf.co/URP/urllm-ko-7b
Model Details
Model Architecture:
urLLM-KO-7B is an auto-regressive language model that leverages an optimized transformer architecture derived from Llama-2-7b.
Training Corpus
The model was trained using selected datasets from Modu Corpus and Korean Wikipedia (approximately 28GB).
Vocab Expansion
The expanded vocab size is 51385.
Model Card Contact
For errors or additional questions about details in this model card, contact pkchae@urp.kr .
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