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

Libraries

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

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
	filename="deepseek-r1-distill-qwen-1.5b-bf16.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF: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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF: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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Ollama:
```
ollama run hf.co/skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
```

Unsloth Studio new

How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
```

Lemonade

How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-1.5B-GGUF-Q4_K_M

List all available models

lemonade list

These models are converted from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B with llama.cpp. These models contain biases in both q_proj and k_proj layers.

The bf16, f16 models are converted with llama.cpp in branch b4514, because the latest main branch of llama.cpp failed to convert the hf model into GGUF format (2025/7/28).

Both of them can be evaluated with latest llama.cpp via ./build/bin/llama-perplexity. However, when we evaluate the bf16, f16 model with lighteval in vllm, it seems fail to load the model correctly. (2025/8/5)

Downloads last month: 43

GGUF

Model size

2B params

Architecture

qwen2

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF

GGUF models

Collection

17 items • Updated Aug 27, 2025