Instructions to use ZeroWw/DeepSeek-R1-0528-Qwen3-8B-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 ZeroWw/DeepSeek-R1-0528-Qwen3-8B-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 ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama cli -hf ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16

Use Docker

docker model run hf.co/ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16

Llama new
LM Studio
Jan

vLLM

How to use ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16

Ollama
How to use ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF with Ollama:
```
ollama run hf.co/ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16
```
Unsloth Desktop
Docker Model Runner
How to use ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16
```

Lemonade

How to use ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ZeroWw/DeepSeek-R1-0528-Qwen3-8B-GGUF:F16

Run and chat with the model

lemonade run user.DeepSeek-R1-0528-Qwen3-8B-GGUF-F16

List all available models

lemonade list

Atomic Chat

ZeroWw commited on May 30, 2025

Commit

6ce8e42

verified ·

1 Parent(s): d9df2a4

Upload folder using huggingface_hub

Browse files

Files changed (8) hide show

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DeepSeek-R1-0528-Qwen3-8B.f16.gguf +3 -0
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+---
+license: mit
+language:
+- en
+pipeline_tag: text-generation
+---
+My own (ZeroWw) quantizations.
+output and embed tensors quantized to f16.
+all other tensors quantized to q5_k or q6_k.
+Result:
+both f16.q6 and f16.q5 are smaller than q8_0 standard quantization
+and they perform as well as the pure f16.
+Updated on: Fri May 30, 11:31:28