Instructions to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF",
	filename="deepseek-r1-distill-qwen-1.5b-q4_0.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF 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 ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0

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 ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0

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 ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0

Use Docker

docker model run hf.co/ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0

LM Studio
Jan
Ollama
How to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF with Ollama:
```
ollama run hf.co/ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0
```

Unsloth Studio

How to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF 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 ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF 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 ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF with Docker Model Runner:
```
docker model run hf.co/ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0
```

Lemonade

How to use ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF:Q4_0

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF-Q4_0

List all available models

lemonade list

ggerganov HF Staff commited on Jan 20, 2025

Commit

13473bf

verified ·

1 Parent(s): 2283d75

readme : ggerganov -> ggml-org

Browse files

Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -5,7 +5,7 @@ tags:
 - gguf-my-repo
 ---
-# ggerganov/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF
 This model was converted to GGUF format from [`deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) for more details on the model.
@@ -20,12 +20,12 @@ Invoke the llama.cpp server or the CLI.
 ### CLI:
 ```bash
-llama-cli --hf-repo ggerganov/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -p "The meaning to life and the universe is"
 ```
 ### Server:
 ```bash
-llama-server --hf-repo ggerganov/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -c 2048
 ```
 Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
@@ -42,9 +42,9 @@ cd llama.cpp && LLAMA_CURL=1 make
 Step 3: Run inference through the main binary.
 ```
-./llama-cli --hf-repo ggerganov/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -p "The meaning to life and the universe is"
 ```
 or
 ```
-./llama-server --hf-repo ggerganov/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -c 2048
 ```

 - gguf-my-repo
 ---
+# ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF
 This model was converted to GGUF format from [`deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) for more details on the model.
 ### CLI:
 ```bash
+llama-cli --hf-repo ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -p "The meaning to life and the universe is"
 ```
 ### Server:
 ```bash
+llama-server --hf-repo ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -c 2048
 ```
 Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
 Step 3: Run inference through the main binary.
 ```
+./llama-cli --hf-repo ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -p "The meaning to life and the universe is"
 ```
 or
 ```
+./llama-server --hf-repo ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF --hf-file deepseek-r1-distill-qwen-1.5b-q4_0.gguf -c 2048
 ```