Instructions to use Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX 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 Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX
# Run inference directly in the terminal:
llama cli -hf Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX
# Run inference directly in the terminal:
llama cli -hf Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX

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 Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX
# Run inference directly in the terminal:
./llama-cli -hf Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX

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 Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX

Use Docker

docker model run hf.co/Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX

LM Studio
Jan
Ollama
How to use Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX with Ollama:
```
ollama run hf.co/Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX
```

Unsloth Studio

How to use Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX 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 Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX 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 Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX to start chatting

Docker Model Runner
How to use Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX with Docker Model Runner:
```
docker model run hf.co/Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX
```

Lemonade

How to use Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lucebox/DeepSeek-V4-Flash-0731-ROCMFPX

Run and chat with the model

lemonade run user.DeepSeek-V4-Flash-0731-ROCMFPX-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

You can change the name to have 0731

by Arkovski - opened about 5 hours ago

Discussion

Arkovski

about 5 hours ago

Hi, just a small suggestion - update the title, bc most of the people probably thinks that it is for V4 Preview version.

And I love your job, I have Strix Halo too and I'm all wet and waiting for the results soon!

Arkovski

about 5 hours ago

And maybe add that is is tailored specifically to "AMD Strix Halo" too ( in the title or at least in the description)

davide221

Lucebox org about 3 hours ago

Thanks for the suggestions!

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment