Instructions to use CohereLabs/command-a-plus-05-2026-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CohereLabs/command-a-plus-05-2026-fp8 with Transformers:

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

pipe = pipeline("image-text-to-text", model="CohereLabs/command-a-plus-05-2026-fp8")
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 AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("CohereLabs/command-a-plus-05-2026-fp8")
model = AutoModelForImageTextToText.from_pretrained("CohereLabs/command-a-plus-05-2026-fp8")
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?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
HuggingChat
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use CohereLabs/command-a-plus-05-2026-fp8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CohereLabs/command-a-plus-05-2026-fp8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CohereLabs/command-a-plus-05-2026-fp8",
		"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/CohereLabs/command-a-plus-05-2026-fp8

SGLang

How to use CohereLabs/command-a-plus-05-2026-fp8 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 "CohereLabs/command-a-plus-05-2026-fp8" \
    --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": "CohereLabs/command-a-plus-05-2026-fp8",
		"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 "CohereLabs/command-a-plus-05-2026-fp8" \
        --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": "CohereLabs/command-a-plus-05-2026-fp8",
		"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 CohereLabs/command-a-plus-05-2026-fp8 with Docker Model Runner:
```
docker model run hf.co/CohereLabs/command-a-plus-05-2026-fp8
```

alexrs commited on 2 days ago

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Update README via Huggy

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+---
+inference: false
+library_name: transformers
+language:
+- en       # English
+- ar       # Arabic
+- bg       # Bulgarian
+- bn       # Bengali
+- ca       # Catalan
+- cs       # Czech
+- da       # Danish
+- de       # German
+- el       # Greek
+- es       # Spanish
+- et       # Estonian
+- fa       # Persian
+- fi       # Finnish
+- fil      # Filipino
+- fr       # French
+- ga       # Irish
+- he       # Hebrew
+- hi       # Hindi
+- hr       # Croatian
+- hu       # Hungarian
+- id       # Indonesian
+- is       # Icelandic
+- it       # Italian
+- ja       # Japanese
+- ko       # Korean
+- lt       # Lithuanian
+- lv       # Latvian
+- ms       # Malay
+- mt       # Maltese
+- nl       # Dutch
+- "no"     # Norwegian
+- pa       # Punjabi
+- pl       # Polish
+- pt       # Portuguese
+- ro       # Romanian
+- ru       # Russian
+- sk       # Slovak
+- sl       # Slovenian
+- sr       # Serbian
+- sv       # Swedish
+- ta       # Tamil
+- te       # Telugu
+- th       # Thai
+- tr       # Turkish
+- uk       # Ukrainian
+- ur       # Urdu
+- vi       # Vietnamese
+- zh       # Chinese
+license: apache-2.0
+base_model: CohereLabs/command-a-plus-05-2026
+base_model_relation: quantized
+pipeline_tag: text-generation
+tags:
+- conversational
+- chat
+---