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
Download config.json from kiel2/Kiel-2.1-Omni: direct link, hf CLI and curl.
- Browser
- Download file 1.87 kB
-
https://huggingface.co/kiel2/Kiel-2.1-Omni/resolve/main/config.json
- Command line
-
hf download hf://kiel2/Kiel-2.1-Omni/config.json
-
curl -L -o config.json https://huggingface.co/kiel2/Kiel-2.1-Omni/resolve/main/config.json
1.87 kB
| { | |
| "aligner_config": { | |
| "cls": "MlpProjector", | |
| "model_type": "aligner", | |
| "params": { | |
| "depth": 2, | |
| "input_dim": 1024, | |
| "n_embed": 2048, | |
| "projector_type": "mlp_gelu" | |
| } | |
| }, | |
| "architectures": [ | |
| "MultiModalityCausalLM" | |
| ], | |
| "dtype": "float16", | |
| "gen_aligner_config": { | |
| "cls": "MlpProjector", | |
| "model_type": "gen_aligner", | |
| "params": { | |
| "depth": 2, | |
| "input_dim": 8, | |
| "n_embed": 2048, | |
| "projector_type": "mlp_gelu" | |
| } | |
| }, | |
| "gen_head_config": { | |
| "cls": "vision_head", | |
| "model_type": "gen_head", | |
| "params": { | |
| "image_token_embed": 2048, | |
| "image_token_size": 16384, | |
| "n_embed": 2048 | |
| } | |
| }, | |
| "gen_vision_config": { | |
| "cls": "VQ-16", | |
| "model_type": "gen_vision", | |
| "params": { | |
| "image_token_size": 16384, | |
| "n_embed": 8 | |
| } | |
| }, | |
| "language_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 5632, | |
| "max_position_embeddings": 16384, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 16, | |
| "pad_token_id": null, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": false, | |
| "use_cache": true, | |
| "vocab_size": 102400 | |
| }, | |
| "model_type": "multi_modality", | |
| "transformers_version": "5.16.1", | |
| "vision_config": { | |
| "cls": "CLIPVisionTower", | |
| "model_type": "vision", | |
| "params": { | |
| "image_size": 384, | |
| "model_name": "siglip_large_patch16_384", | |
| "select_feature": "same", | |
| "select_layer": -1 | |
| } | |
| } | |
| } | |