Instructions to use xiwenyoumu/Fast-dDrive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use xiwenyoumu/Fast-dDrive with Transformers:

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

pipe = pipeline("image-text-to-text", model="xiwenyoumu/Fast-dDrive", 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("xiwenyoumu/Fast-dDrive", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use xiwenyoumu/Fast-dDrive with vLLM:

Install from pip and serve model

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

SGLang

How to use xiwenyoumu/Fast-dDrive 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 "xiwenyoumu/Fast-dDrive" \
    --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": "xiwenyoumu/Fast-dDrive",
		"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 "xiwenyoumu/Fast-dDrive" \
        --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": "xiwenyoumu/Fast-dDrive",
		"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 xiwenyoumu/Fast-dDrive with Docker Model Runner:
```
docker model run hf.co/xiwenyoumu/Fast-dDrive
```

Fast-dDrive / config.json

xiwenyoumu

Initial Fast-dDrive 3B release

5e9a603 verified about 18 hours ago

raw

history blame contribute delete

5.23 kB

	{
	"always_mask_im_end": true,
	"anneal_block_size": false,
	"architectures": [
	"Fast_dDriveForConditionalGeneration"
	],
	"attention_dropout": 0.0,
	"bd_size": 32,
	"block_causal_no_dynamic": false,
	"complementary_mask": true,
	"deep_json_scaffold": true,
	"dtype": "float32",
	"enable_efficient_vision_embed": false,
	"entropy_loss": false,
	"entropy_loss_weight": 1.0,
	"eos_token_id": 151645,
	"flexible_bd_size": false,
	"hidden_act": "silu",
	"hidden_size": 2048,
	"image_token_id": 151655,
	"initializer_range": 0.02,
	"intermediate_size": 11008,
	"max_position_embeddings": 128000,
	"max_window_layers": 70,
	"minimum_noise_level": 0.001,
	"model_type": "fast_d_drive",
	"num_attention_heads": 16,
	"num_hidden_layers": 36,
	"num_key_value_heads": 2,
	"pad_token_id": 151643,
	"rms_norm_eps": 1e-06,
	"rope_scaling": {
	"mrope_section": [
	16,
	24,
	24
	],
	"rope_type": "default",
	"type": "default"
	},
	"rope_theta": 1000000.0,
	"section_block_steps": null,
	"section_loss_weights": {
	"critical_objects": 1.5,
	"explanation": 1.0,
	"future_meta_behavior": 2.0,
	"trajectory": 3.0
	},
	"section_noise_schedule": {
	"critical_objects": "1.0,2.0",
	"explanation": "1.0,1.0",
	"future_meta_behavior": "1.0,1.5",
	"trajectory": "2.0,1.0"
	},
	"section_token_budgets": null,
	"sliding_window": 32768,
	"static_json_scaffold": false,
	"text_config": {
	"always_mask_im_end": true,
	"anneal_block_size": false,
	"architectures": [
	"Fast_dDriveForConditionalGeneration"
	],
	"attention_dropout": 0.0,
	"auto_map": {
	"AutoConfig": "configuration.Fast_dDriveConfig",
	"AutoModel": "modeling.Fast_dDriveForConditionalGeneration",
	"AutoModelForCausalLM": "modeling.Fast_dDriveForConditionalGeneration"
	},
	"bd_size": 32,
	"block_causal_no_dynamic": false,
	"block_length": null,
	"bos_token_id": 151643,
	"complementary_mask": true,
	"deep_json_scaffold": true,
	"dtype": "float32",
	"enable_efficient_vision_embed": false,
	"entropy_loss": false,
	"entropy_loss_weight": 1.0,
	"eos_token_id": 151645,
	"flexible_bd_size": false,
	"hidden_act": "silu",
	"hidden_size": 2048,
	"image_token_id": null,
	"initializer_range": 0.02,
	"intermediate_size": 11008,
	"layer_types": [
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention",
	"full_attention"
	],
	"max_position_embeddings": 128000,
	"max_window_layers": 70,
	"minimum_noise_level": 0.001,
	"model_type": "fast_d_drive_for_causal_lm",
	"num_attention_heads": 16,
	"num_hidden_layers": 36,
	"num_key_value_heads": 2,
	"rms_norm_eps": 1e-06,
	"rope_scaling": {
	"mrope_section": [
	16,
	24,
	24
	],
	"rope_type": "default",
	"type": "default"
	},
	"rope_theta": 1000000.0,
	"section_block_steps": null,
	"section_token_budgets": null,
	"self_spec_inference_mode": null,
	"sliding_window": null,
	"static_json_scaffold": false,
	"tie_word_embeddings": true,
	"use_block_causal_mask": true,
	"use_cache": true,
	"use_json_scaffold": true,
	"use_sliding_window": false,
	"video_token_id": null,
	"vision_end_token_id": 151653,
	"vision_start_token_id": 151652,
	"vision_token_id": 151654,
	"vocab_size": 151936
	},
	"transformers_version": "4.57.1",
	"use_block_causal_mask": true,
	"use_cache": true,
	"use_json_scaffold": true,
	"use_sliding_window": false,
	"video_token_id": 151656,
	"vision_config": {
	"depth": 32,
	"dtype": "float32",
	"fullatt_block_indexes": [
	7,
	15,
	23,
	31
	],
	"hidden_act": "silu",
	"hidden_size": 1280,
	"in_channels": 3,
	"in_chans": 3,
	"initializer_range": 0.02,
	"intermediate_size": 3420,
	"model_type": "fast_d_drive",
	"num_heads": 16,
	"out_hidden_size": 2048,
	"patch_size": 14,
	"spatial_merge_size": 2,
	"spatial_patch_size": 14,
	"temporal_patch_size": 2,
	"tokens_per_second": 2,
	"window_size": 112
	},
	"vision_end_token_id": 151653,
	"vision_start_token_id": 151652,
	"vision_token_id": 151654,
	"vocab_size": 151936,
	"auto_map": {
	"AutoConfig": "configuration.Fast_dDriveConfig",
	"AutoModel": "modeling.Fast_dDriveForConditionalGeneration",
	"AutoModelForCausalLM": "modeling.Fast_dDriveForConditionalGeneration"
	}
	}