Text Generation
Transformers
Safetensors
PyTorch
English
rose_x1
causal-lm
custom-architecture
rose-x1
rose-medium
custom_code
Instructions to use GODELEV/Rose-Medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GODELEV/Rose-Medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GODELEV/Rose-Medium", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("GODELEV/Rose-Medium", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use GODELEV/Rose-Medium with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GODELEV/Rose-Medium" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GODELEV/Rose-Medium", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/GODELEV/Rose-Medium
- SGLang
How to use GODELEV/Rose-Medium 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 "GODELEV/Rose-Medium" \ --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": "GODELEV/Rose-Medium", "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 "GODELEV/Rose-Medium" \ --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": "GODELEV/Rose-Medium", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use GODELEV/Rose-Medium with Docker Model Runner:
docker model run hf.co/GODELEV/Rose-Medium
Interesting
#4
by ExtraFlyLM - opened
Hi
I really like this model and its architecture Rose X1 is very interesting and innovative.
Congratulations on the model
Thank You !!
You should definitely check out "AxiomicLabs"
The architecture is inspired by thier S2 model.
GODELEV changed discussion status to closed