Instructions to use bsarpel/DeepSeek-V4-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bsarpel/DeepSeek-V4-Flash with Transformers:

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

pipe = pipeline("text-generation", model="bsarpel/DeepSeek-V4-Flash")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bsarpel/DeepSeek-V4-Flash")
model = AutoModelForCausalLM.from_pretrained("bsarpel/DeepSeek-V4-Flash")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bsarpel/DeepSeek-V4-Flash with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bsarpel/DeepSeek-V4-Flash"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bsarpel/DeepSeek-V4-Flash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bsarpel/DeepSeek-V4-Flash

SGLang

How to use bsarpel/DeepSeek-V4-Flash 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 "bsarpel/DeepSeek-V4-Flash" \
    --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": "bsarpel/DeepSeek-V4-Flash",
		"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 "bsarpel/DeepSeek-V4-Flash" \
        --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": "bsarpel/DeepSeek-V4-Flash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bsarpel/DeepSeek-V4-Flash with Docker Model Runner:
```
docker model run hf.co/bsarpel/DeepSeek-V4-Flash
```

DeepSeek-V4-Flash / encoding /tests /test_input_1.json

bsarpel

Duplicate from deepseek-ai/DeepSeek-V4-Flash

a027c4e 22 days ago

raw

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	{
	"tools": [
	{
	"type": "function",
	"function": {
	"name": "get_weather",
	"description": "Get the weather for a specific location",
	"parameters": {
	"type": "object",
	"properties": {
	"location": {
	"type": "string",
	"description": "The city name"
	},
	"unit": {
	"type": "string",
	"enum": ["celsius", "fahrenheit"],
	"description": "Temperature unit"
	}
	},
	"required": ["location"]
	}
	}
	},
	{
	"type": "function",
	"function": {
	"name": "search",
	"description": "Search the web for information",
	"parameters": {
	"type": "object",
	"properties": {
	"query": {
	"type": "string",
	"description": "Search query"
	},
	"num_results": {
	"type": "integer",
	"description": "Number of results to return"
	}
	},
	"required": ["query"]
	}
	}
	}
	],
	"messages": [
	{
	"role": "system",
	"content": "You are a helpful assistant."
	},
	{
	"role": "user",
	"content": "What's the weather in Beijing?"
	},
	{
	"role": "assistant",
	"reasoning_content": "The user wants to know the weather in Beijing. I should use the get_weather tool.",
	"tool_calls": [
	{
	"id": "call_001",
	"type": "function",
	"function": {
	"name": "get_weather",
	"arguments": "{\"location\": \"Beijing\", \"unit\": \"celsius\"}"
	}
	}
	]
	},
	{
	"role": "tool",
	"tool_call_id": "call_001",
	"content": "{\"temperature\": 22, \"condition\": \"sunny\", \"humidity\": 45}"
	},
	{
	"role": "assistant",
	"reasoning_content": "Got the weather data. Let me format a nice response.",
	"content": "The weather in Beijing is currently sunny with a temperature of 22°C and 45% humidity."
	}
	]
	}