Instructions to use ReallyFloppyPenguin/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 ReallyFloppyPenguin/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="ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
	filename="model-f16.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 ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-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 ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16

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 ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16

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 ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16

Use Docker

docker model run hf.co/ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16

LM Studio
Jan
Ollama
How to use ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Ollama:
```
ollama run hf.co/ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16
```

Unsloth Studio

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

Atomic Chat new
Docker Model Runner
How to use ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16
```

Lemonade

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

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ReallyFloppyPenguin/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:F16

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-1.5B-GGUF-F16

List all available models

lemonade list

ReallyFloppyPenguin commited on Jul 8, 2025

Commit

e4850ba

verified ·

1 Parent(s): c1d70a7

Upload README.md with huggingface_hub

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@@ -22,7 +22,7 @@ GGUF is a quantization method that allows you to run large language models on co
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| model-fp16.gguf | FP16 | Variable | fp16 quantization |
 | model-q4_0.gguf | Q4_0 | Small | 4-bit quantization |
 | model-q4_1.gguf | Q4_1 | Small | 4-bit quantization (higher quality) |
 | model-q5_0.gguf | Q5_0 | Medium | 5-bit quantization |

 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
+| model-f16.gguf | F16 | Large | Original precision |
 | model-q4_0.gguf | Q4_0 | Small | 4-bit quantization |
 | model-q4_1.gguf | Q4_1 | Small | 4-bit quantization (higher quality) |
 | model-q5_0.gguf | Q5_0 | Medium | 5-bit quantization |