Instructions to use tiny-random/deepseek-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tiny-random/deepseek-v4 with Transformers:

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

pipe = pipeline("text-generation", model="tiny-random/deepseek-v4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tiny-random/deepseek-v4")
model = AutoModelForCausalLM.from_pretrained("tiny-random/deepseek-v4", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tiny-random/deepseek-v4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tiny-random/deepseek-v4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tiny-random/deepseek-v4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tiny-random/deepseek-v4

SGLang

How to use tiny-random/deepseek-v4 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 "tiny-random/deepseek-v4" \
    --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": "tiny-random/deepseek-v4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "tiny-random/deepseek-v4" \
        --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": "tiny-random/deepseek-v4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tiny-random/deepseek-v4 with Docker Model Runner:
```
docker model run hf.co/tiny-random/deepseek-v4
```

yujiepan commited on 15 days ago

Commit

1fe154c

verified ·

1 Parent(s): 973b784

Upload folder using huggingface_hub

Browse files

Files changed (3) hide show

README.md +3 -3
config.json +2 -2
model.safetensors +2 -2

README.md CHANGED Viewed

@@ -12,7 +12,7 @@ Note:
 | File path | Size |
 |------|------|
-| model.safetensors | 144.5MB |
 ### Example usage:
@@ -73,8 +73,8 @@ config = {
     "initializer_range": 0.02,
     "max_position_embeddings": 1048576,
     "model_type": "deepseek_v4",
-    "moe_intermediate_size": 128,
-    "n_routed_experts": 256,
     "n_shared_experts": 1,
     "norm_topk_prob": True,
     "num_attention_heads": 4,

 | File path | Size |
 |------|------|
+| model.safetensors | 144.0MB |
 ### Example usage:
     "initializer_range": 0.02,
     "max_position_embeddings": 1048576,
     "model_type": "deepseek_v4",
+    "moe_intermediate_size": 256,
+    "n_routed_experts": 128,
     "n_shared_experts": 1,
     "norm_topk_prob": True,
     "num_attention_heads": 4,

config.json CHANGED Viewed

@@ -19,8 +19,8 @@
   "initializer_range": 0.02,
   "max_position_embeddings": 1048576,
   "model_type": "deepseek_v4",
-  "moe_intermediate_size": 128,
-  "n_routed_experts": 256,
   "n_shared_experts": 1,
   "norm_topk_prob": true,
   "num_attention_heads": 4,

   "initializer_range": 0.02,
   "max_position_embeddings": 1048576,
   "model_type": "deepseek_v4",
+  "moe_intermediate_size": 256,
+  "n_routed_experts": 128,
   "n_shared_experts": 1,
   "norm_topk_prob": true,
   "num_attention_heads": 4,

model.safetensors CHANGED Viewed

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