Text Generation
Transformers
Safetensors
mistral
samir-fama/FernandoGPT-v1
FelixChao/NinjaDolphin-7B
text-generation-inference
Instructions to use FelixChao/Severus-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FelixChao/Severus-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FelixChao/Severus-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FelixChao/Severus-7B") model = AutoModelForCausalLM.from_pretrained("FelixChao/Severus-7B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use FelixChao/Severus-7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FelixChao/Severus-7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FelixChao/Severus-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/FelixChao/Severus-7B
- SGLang
How to use FelixChao/Severus-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 "FelixChao/Severus-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": "FelixChao/Severus-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 "FelixChao/Severus-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": "FelixChao/Severus-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use FelixChao/Severus-7B with Docker Model Runner:
docker model run hf.co/FelixChao/Severus-7B
Librarian Bot: Add merge tag to model
#1
by librarian-bot - opened
This pull request aims to enrich the metadata of your model by adding an merge tag in the YAML block of your model's README.md.
How did we find this information? We infered that this model is a merge model based on the presence of one of the following files:
merge.ymlmerge.yamlmergekit_config.ymlmergekit_config.yaml
Why add this? Enhancing your model's metadata in this way:
- Boosts Discoverability - It becomes easier to find merge models on the Hub
- Helping understand the ecosystem - It becomes easier to understand the ecosystem of merge models on the Hub
This PR comes courtesy of Librarian Bot. If you have any feedback, queries, or need assistance, please don't hesitate to reach out to @davanstrien .