Text Generation
Transformers
Safetensors
multi_modality
multimodal
lora-merged
4-bit precision
16-bit
image-understanding
image-generation
Instructions to use kiel2/Kiel-2.1-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiel2/Kiel-2.1-Omni with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kiel2/Kiel-2.1-Omni")# pip install -U transformers accelerate # Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("kiel2/Kiel-2.1-Omni", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use kiel2/Kiel-2.1-Omni with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kiel2/Kiel-2.1-Omni" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kiel2/Kiel-2.1-Omni", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kiel2/Kiel-2.1-Omni
- SGLang
How to use kiel2/Kiel-2.1-Omni 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 "kiel2/Kiel-2.1-Omni" \ --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": "kiel2/Kiel-2.1-Omni", "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 "kiel2/Kiel-2.1-Omni" \ --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": "kiel2/Kiel-2.1-Omni", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kiel2/Kiel-2.1-Omni with Docker Model Runner:
docker model run hf.co/kiel2/Kiel-2.1-Omni
File size: 704 Bytes
b69d41c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
"add_special_token": false,
"ignore_id": -100,
"image_end_tag": "<end_of_image>",
"image_processor": {
"background_color": [
127,
127,
127
],
"do_normalize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "VLMImageProcessor",
"image_size": 384,
"image_std": [
0.5,
0.5,
0.5
],
"min_size": 14,
"rescale_factor": 0.00392156862745098
},
"image_start_tag": "<begin_of_image>",
"image_tag": "<image_placeholder>",
"mask_prompt": true,
"num_image_tokens": 576,
"pad_tag": "<\uff5c\u2581pad\u2581\uff5c>",
"processor_class": "VLChatProcessor",
"sft_format": "deepseek"
}
|