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

Libraries

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

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

pipe = pipeline("text-generation", model="yujiepan/deepseek-v4-tiny-random")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("yujiepan/deepseek-v4-tiny-random")
model = AutoModelForCausalLM.from_pretrained("yujiepan/deepseek-v4-tiny-random")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

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

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yujiepan/deepseek-v4-tiny-random"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yujiepan/deepseek-v4-tiny-random",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

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

SGLang

How to use yujiepan/deepseek-v4-tiny-random 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 "yujiepan/deepseek-v4-tiny-random" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yujiepan/deepseek-v4-tiny-random",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "yujiepan/deepseek-v4-tiny-random" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yujiepan/deepseek-v4-tiny-random",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

deepseek-v4-tiny-random / README.md

yujiepan

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	---
	library_name: transformers
	base_model:
	- deepseek-ai/DeepSeek-V4-Pro
	---

	Tiny random version of DeepSeek-V4.

	In development. Might not work!

	```bash
	vllm serve yujiepan/deepseek-v4-tiny-random \
	--trust-remote-code \
	--block-size 256 \
	--kv-cache-dtype fp8 \
	--data-parallel-size 1 \
	--max-model-len 12000 \
	--gpu-memory-utilization 0.5 \
	--max-num-seqs 512 \
	--max-num-batched-tokens 512 \
	--no-enable-flashinfer-autotune \
	--compilation-config '{"mode": 0, "cudagraph_mode": "FULL_DECODE_ONLY"}' \
	--tokenizer-mode deepseek_v4 \
	--tool-call-parser deepseek_v4 \
	--enable-auto-tool-choice \
	--reasoning-parser deepseek_v4 \
	--speculative_config '{"method":"mtp","num_speculative_tokens":1}'
	```