Instructions to use unsloth/DeepSeek-V4-Flash-0731 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unsloth/DeepSeek-V4-Flash-0731 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="unsloth/DeepSeek-V4-Flash-0731") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("unsloth/DeepSeek-V4-Flash-0731") model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-V4-Flash-0731", 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 unsloth/DeepSeek-V4-Flash-0731 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "unsloth/DeepSeek-V4-Flash-0731" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "unsloth/DeepSeek-V4-Flash-0731", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/unsloth/DeepSeek-V4-Flash-0731
- SGLang
How to use unsloth/DeepSeek-V4-Flash-0731 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 "unsloth/DeepSeek-V4-Flash-0731" \ --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": "unsloth/DeepSeek-V4-Flash-0731", "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 "unsloth/DeepSeek-V4-Flash-0731" \ --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": "unsloth/DeepSeek-V4-Flash-0731", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use unsloth/DeepSeek-V4-Flash-0731 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/DeepSeek-V4-Flash-0731 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/DeepSeek-V4-Flash-0731 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/DeepSeek-V4-Flash-0731 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/DeepSeek-V4-Flash-0731", max_seq_length=2048, ) - Docker Model Runner
How to use unsloth/DeepSeek-V4-Flash-0731 with Docker Model Runner:
docker model run hf.co/unsloth/DeepSeek-V4-Flash-0731
File size: 4,546 Bytes
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{
"role": "system",
"content": "该助手为DeepSeek,由深度求索公司创造。"
},
{
"role": "latest_reminder",
"content": "2026-02-21,星期六,广州,App,中文"
},
{
"role": "developer",
"content": "小柴胡冲剂和布洛芬能一起吃吗?\n\nCITATION FORMAT: 【{cursor_id}†L{start_line_id}(-L{end_line_id})?】",
"tools": [
{
"type": "function",
"function": {
"name": "search",
"description": "Web search. Split multiple queries with '||'.",
"parameters": {
"type": "object",
"properties": {
"queries": {
"type": "string",
"description": "query1||query2"
}
},
"required": [
"queries"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}
}
},
{
"type": "function",
"function": {
"name": "open",
"description": "Batch open IDs (format 【{id}†...】) or URLs.",
"parameters": {
"type": "object",
"properties": {
"open_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"description": "ID or URL",
"anyOf": [
{
"type": "integer"
},
{
"type": "string"
}
],
"default": -1
},
"cursor": {
"type": "integer",
"description": "",
"default": -1
},
"loc": {
"type": "integer",
"description": "Start line",
"default": -1
},
"num_lines": {
"type": "integer",
"description": "",
"default": -1
},
"view_source": {
"type": "boolean",
"description": "",
"default": false
}
},
"additionalProperties": false
},
"description": ""
}
},
"required": [
"open_list"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}
}
},
{
"type": "function",
"function": {
"name": "find",
"description": "Find exact text pattern in pages.",
"parameters": {
"type": "object",
"properties": {
"find_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": ""
},
"cursor": {
"type": "integer",
"description": "",
"default": -1
}
},
"required": [
"pattern"
],
"additionalProperties": false
},
"description": ""
}
},
"required": [
"find_list"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}
}
}
]
},
{
"role": "assistant",
"content": "",
"reasoning_content": "用户想知道小柴胡冲剂和布洛芬能否一起服用。",
"tool_calls": [
{
"type": "function",
"function": {
"name": "search",
"arguments": "{\"queries\": \"小柴胡冲剂 布洛芬 相互作用 一起吃\"}"
}
}
]
},
{
"role": "tool",
"content": "[0]"
},
{
"role": "assistant",
"content": "请及时就医。",
"reasoning_content": "现在开始组织回答。",
"tool_calls": []
}
] |