Instructions to use RekaAI/reka-edge-2603 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RekaAI/reka-edge-2603 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="RekaAI/reka-edge-2603", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained("RekaAI/reka-edge-2603", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use RekaAI/reka-edge-2603 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RekaAI/reka-edge-2603"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RekaAI/reka-edge-2603",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/RekaAI/reka-edge-2603

SGLang

How to use RekaAI/reka-edge-2603 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 "RekaAI/reka-edge-2603" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RekaAI/reka-edge-2603",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "RekaAI/reka-edge-2603" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RekaAI/reka-edge-2603",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use RekaAI/reka-edge-2603 with Docker Model Runner:
```
docker model run hf.co/RekaAI/reka-edge-2603
```

looking forward to the quantized versions for edge deployment

by tomasmcm - opened Mar 13

Discussion

tomasmcm

Mar 13

pretty cool model you got here. I hope you are considering releasing a quantized version as well, so we can try running this on SBCs, phones, tablets 🙏

kwajiehao

Reka AI org Mar 15

Hi Tomas, we are working on quantizing the model and will update here when we have more to share!

DeltaWhiplash

Mar 24

Hello do you have any news about GGUF ?

kwajiehao

Reka AI org Mar 24

Hi @DeltaWhiplash , we should have it within the next couple of weeks to a month

kwajiehao

Reka AI org Apr 8

I've made a PR upstream to llama.cpp to add support for Reka Edge - https://github.com/ggml-org/llama.cpp/pull/21616

We've also added scripts for converting to GGUF (convert_reka_vlm_to_gguf.py) and basic quantization scripts (quantize_reka_q4_last8_q8.sh, quantize_reka_q4.sh)

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