Instructions to use cortexso/deepseek-r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use cortexso/deepseek-r1 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cortexso/deepseek-r1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf cortexso/deepseek-r1:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cortexso/deepseek-r1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf cortexso/deepseek-r1:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf cortexso/deepseek-r1:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf cortexso/deepseek-r1:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf cortexso/deepseek-r1:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cortexso/deepseek-r1:Q4_K_M

Use Docker

docker model run hf.co/cortexso/deepseek-r1:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use cortexso/deepseek-r1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cortexso/deepseek-r1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cortexso/deepseek-r1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cortexso/deepseek-r1:Q4_K_M

Ollama
How to use cortexso/deepseek-r1 with Ollama:
```
ollama run hf.co/cortexso/deepseek-r1:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use cortexso/deepseek-r1 with Docker Model Runner:
```
docker model run hf.co/cortexso/deepseek-r1:Q4_K_M
```

Lemonade

How to use cortexso/deepseek-r1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cortexso/deepseek-r1:Q4_K_M

Run and chat with the model

lemonade run user.deepseek-r1-Q4_K_M

List all available models

lemonade list

Atomic Chat

Minh141120 commited on Mar 2, 2025

Commit

97d52da

verified ·

1 Parent(s): eed6c1f

Update README.md

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README.md CHANGED Viewed

@@ -24,7 +24,6 @@ The DeepSeek-R1 models include distilled and full-scale variants of both **Qwen*
 | 4  | [DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/cortexso/deepseek-r1/tree/14b)           | 14b     | `cortex run deepseek-r1:14b`  |
 | 5  | [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/cortexso/deepseek-r1/tree/32b)           | 32b     | `cortex run deepseek-r1:32b`  |
 | 6  | [DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/cortexso/deepseek-r1/tree/70b)         | 70b     | `cortex run deepseek-r1:70b` |
-| 6  | [DeepSeek-R1-Distill-Llama-128B](https://huggingface.co/cortexso/deepseek-r1/tree/128b)         | 128b     | `cortex run deepseek-r1:128b` |
 Each branch contains a default quantized version:
 - **Qwen-1.5B:** q4-km

 | 4  | [DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/cortexso/deepseek-r1/tree/14b)           | 14b     | `cortex run deepseek-r1:14b`  |
 | 5  | [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/cortexso/deepseek-r1/tree/32b)           | 32b     | `cortex run deepseek-r1:32b`  |
 | 6  | [DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/cortexso/deepseek-r1/tree/70b)         | 70b     | `cortex run deepseek-r1:70b` |
 Each branch contains a default quantized version:
 - **Qwen-1.5B:** q4-km