Instructions to use andrewamirr/DeepSeek-R1-Qwen-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use andrewamirr/DeepSeek-R1-Qwen-7B-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 andrewamirr/DeepSeek-R1-Qwen-7B-GGUF
# Run inference directly in the terminal:
llama cli -hf andrewamirr/DeepSeek-R1-Qwen-7B-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf andrewamirr/DeepSeek-R1-Qwen-7B-GGUF
# Run inference directly in the terminal:
llama cli -hf andrewamirr/DeepSeek-R1-Qwen-7B-GGUF

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 andrewamirr/DeepSeek-R1-Qwen-7B-GGUF
# Run inference directly in the terminal:
./llama-cli -hf andrewamirr/DeepSeek-R1-Qwen-7B-GGUF

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 andrewamirr/DeepSeek-R1-Qwen-7B-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf andrewamirr/DeepSeek-R1-Qwen-7B-GGUF

Use Docker

docker model run hf.co/andrewamirr/DeepSeek-R1-Qwen-7B-GGUF

LM Studio
Jan
Ollama
How to use andrewamirr/DeepSeek-R1-Qwen-7B-GGUF with Ollama:
```
ollama run hf.co/andrewamirr/DeepSeek-R1-Qwen-7B-GGUF
```

Unsloth Studio

How to use andrewamirr/DeepSeek-R1-Qwen-7B-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 andrewamirr/DeepSeek-R1-Qwen-7B-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 andrewamirr/DeepSeek-R1-Qwen-7B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for andrewamirr/DeepSeek-R1-Qwen-7B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use andrewamirr/DeepSeek-R1-Qwen-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/andrewamirr/DeepSeek-R1-Qwen-7B-GGUF
```

Lemonade

How to use andrewamirr/DeepSeek-R1-Qwen-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull andrewamirr/DeepSeek-R1-Qwen-7B-GGUF

Run and chat with the model

lemonade run user.DeepSeek-R1-Qwen-7B-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

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Check out the documentation for more information.

"Powered by Eng.Andrew Amir --(The AI developer)" license: mit
tags: - quantized - gguf - llama.cpp

Quantized GGUF of DeepSeek-R1-Distill-Qwen-7B

Model: DeepSeek-R1-Distill-Qwen-7B (4-bit quantized via llama.cpp)
Quantization: Q4_K_M
Original Model: [https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B]

Downloads last month: 2

GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

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"Powered by Eng.Andrew Amir --(The AI developer)" license: mittags: - quantized - gguf - llama.cpp

Quantized GGUF of DeepSeek-R1-Distill-Qwen-7B

"Powered by Eng.Andrew Amir --(The AI developer)" license: mit
tags: - quantized - gguf - llama.cpp