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

Libraries

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

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

pipe = pipeline("image-text-to-text", model="fxmarty/Kimi-K2.5-tiny-2-layers", 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 AutoModel
model = AutoModel.from_pretrained("fxmarty/Kimi-K2.5-tiny-2-layers", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

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

Install from pip and serve model

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

SGLang

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

Kimi-K2.5-tiny-2-layers / tokenizer_config.json

fxmarty

Upload folder using huggingface_hub

4d82835 verified 2 months ago

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	{
	"added_tokens_decoder": {
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	"163606": {
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	}
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	"additional_special_tokens": [
	"<\|im_end\|>",
	"<\|im_user\|>",
	"<\|im_assistant\|>",
	"<\|start_header_id\|>",
	"<\|end_header_id\|>",
	"[EOT]",
	"<\|im_system\|>",
	"<\|im_middle\|>",
	"<\|media_begin\|>",
	"<\|media_content\|>",
	"<\|media_end\|>",
	"<\|media_pad\|>"
	],
	"bos_token": "[BOS]",
	"clean_up_tokenization_spaces": false,
	"eos_token": "[EOS]",
	"extra_special_tokens": {},
	"model_max_length": 1000000000000000019884624838656,
	"pad_token": "[PAD]",
	"tokenizer_class": "TikTokenTokenizer",
	"unk_token": "[UNK]",
	"auto_map": {
	"AutoTokenizer": [
	"tokenization_kimi.TikTokenTokenizer",
	null
	]
	}
	}