Text Generation
Transformers
Safetensors
mistral3
image-text-to-text
summarization
long-context
grounded-generation
citation
xml-tagging
🇪🇺 Region: EU
Instructions to use ellamind/sui-1-24b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ellamind/sui-1-24b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ellamind/sui-1-24b")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ellamind/sui-1-24b") model = AutoModelForMultimodalLM.from_pretrained("ellamind/sui-1-24b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ellamind/sui-1-24b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ellamind/sui-1-24b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ellamind/sui-1-24b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ellamind/sui-1-24b
- SGLang
How to use ellamind/sui-1-24b 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 "ellamind/sui-1-24b" \ --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": "ellamind/sui-1-24b", "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 "ellamind/sui-1-24b" \ --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": "ellamind/sui-1-24b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ellamind/sui-1-24b with Docker Model Runner:
docker model run hf.co/ellamind/sui-1-24b
Update README.md (#1)
Browse files- Update README.md (34c85ec65392dd1dc6cecf4414a70bbacc67b3d7)
Co-authored-by: Thewind Mom <thewimo@users.noreply.huggingface.co>
README.md
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The evaluation was performed using [Elluminate](https://elluminate.de), a collaborative evaluation platform for enterprise AI. Elluminate provides structured LLM-as-a-Judge workflows that enable teams to standardize quality metrics and systematically measure AI performance across defined criteria.
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This model is a contribution by [ellamind](https://ellamind.
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The evaluation was performed using [Elluminate](https://elluminate.de), a collaborative evaluation platform for enterprise AI. Elluminate provides structured LLM-as-a-Judge workflows that enable teams to standardize quality metrics and systematically measure AI performance across defined criteria.
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This model is a contribution by [ellamind](https://ellamind.com) to the open-source community.
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