Instructions to use amd-quark/Kimi-K2.5-2-layers-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use amd-quark/Kimi-K2.5-2-layers-tiny with Transformers:

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

pipe = pipeline("image-text-to-text", model="amd-quark/Kimi-K2.5-2-layers-tiny", 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 AutoProcessor, AutoModel

processor = AutoProcessor.from_pretrained("amd-quark/Kimi-K2.5-2-layers-tiny", trust_remote_code=True)
model = AutoModel.from_pretrained("amd-quark/Kimi-K2.5-2-layers-tiny", trust_remote_code=True, device_map="auto")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use amd-quark/Kimi-K2.5-2-layers-tiny with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "amd-quark/Kimi-K2.5-2-layers-tiny"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "amd-quark/Kimi-K2.5-2-layers-tiny",
		"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/amd-quark/Kimi-K2.5-2-layers-tiny

SGLang

How to use amd-quark/Kimi-K2.5-2-layers-tiny 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 "amd-quark/Kimi-K2.5-2-layers-tiny" \
    --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": "amd-quark/Kimi-K2.5-2-layers-tiny",
		"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 "amd-quark/Kimi-K2.5-2-layers-tiny" \
        --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": "amd-quark/Kimi-K2.5-2-layers-tiny",
		"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 amd-quark/Kimi-K2.5-2-layers-tiny with Docker Model Runner:
```
docker model run hf.co/amd-quark/Kimi-K2.5-2-layers-tiny
```

fxmarty-amd commited on May 6

Commit

1dfea05

verified ·

1 Parent(s): df71383

Upload config.json with huggingface_hub

Browse files

Files changed (1) hide show

config.json +5 -3

config.json CHANGED Viewed

@@ -38,10 +38,12 @@
     },
     "format": "pack-quantized",
     "ignore": [
-      "lm_head",
       "re:.*self_attn.*",
       "re:.*shared_experts.*",
-      "re:.*mlp\\.(gate|up|gate_up|down)_proj.*"
     ],
     "kv_cache_scheme": null,
     "quant_method": "compressed-tensors",
@@ -222,4 +224,4 @@
     "vt_num_attention_heads": 16,
     "vt_num_hidden_layers": 27
   }
-}

     },
     "format": "pack-quantized",
     "ignore": [
       "re:.*self_attn.*",
       "re:.*shared_experts.*",
+      "re:.*mlp\\.(gate|up|gate_up|down)_proj.*",
+      "re:.*lm_head.*",
+      "re:vision_tower.*",
+      "re:mm_projector.*"
     ],
     "kv_cache_scheme": null,
     "quant_method": "compressed-tensors",
     "vt_num_attention_heads": 16,
     "vt_num_hidden_layers": 27
   }
+}