Instructions to use librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE 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 librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE:Q4_K_M

Install from WinGet (Windows)

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

Use Docker

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

LM Studio
Jan

vLLM

How to use librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

Ollama
How to use librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE with Ollama:
```
ollama run hf.co/librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE with Docker Model Runner:
```
docker model run hf.co/librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE:Q4_K_M
```

Lemonade

How to use librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE with Lemonade:

Pull the model

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

Run and chat with the model

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

List all available models

lemonade list

Atomic Chat

DeepSeek-R1-Distill-Qwen-1.5B Q4_K_M — Big-Endian

Big-endian GGUF of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B for IBM AIX and other big-endian POWER systems.

Why Big-Endian?

GGUF files store all data in little-endian. On big-endian systems (AIX, z/OS), llama.cpp detects the mismatch and fails. This pre-converted model works directly.

Model Details

Field	Value
Parameters	1.5B
Architecture	Qwen2 transformer, 28 layers
Quantization	Q4_K_M
Context length	131,072 tokens
File	`DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-be.gguf` (1.04 GB)
Endianness	Big-endian
Source	deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

Note: Reasoning-focused model (chain-of-thought), distilled from DeepSeek-R1.

Performance on IBM POWER9 (AIX 7.3)

Tested at 16 threads, SMT-2:

Generation: 15.45 tok/s
Prompt processing: 7.59 tok/s

Quick Start (AIX)

git clone https://gitlab.com/librepower/llama-aix.git
cd llama-aix
./scripts/fetch_upstream.sh && ./scripts/build_aix_73.sh
wget https://huggingface.co/librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-be.gguf
./build/bin/llama-simple -m DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-be.gguf -n 256 -t 16 "Your prompt"

LibrePower — Unlocking IBM Power Systems through open source. https://librepower.org | hello@librepower.org

Downloads last month: 10

GGUF

Model size

2B params

Architecture

qwen2

Hardware compatibility

4-bit

Model tree for librepowerai/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M-BE

Base model

deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

Quantized

(257)

this model