Instructions to use unsloth/DeepSeek-V4-Flash-0731-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unsloth/DeepSeek-V4-Flash-0731-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 unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
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 unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
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 unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Use Docker
docker model run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use unsloth/DeepSeek-V4-Flash-0731-GGUF with Ollama:
ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
- Unsloth Studio
How to use unsloth/DeepSeek-V4-Flash-0731-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 unsloth/DeepSeek-V4-Flash-0731-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 unsloth/DeepSeek-V4-Flash-0731-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/DeepSeek-V4-Flash-0731-GGUF to start chatting
- Pi
How to use unsloth/DeepSeek-V4-Flash-0731-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use unsloth/DeepSeek-V4-Flash-0731-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use unsloth/DeepSeek-V4-Flash-0731-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use unsloth/DeepSeek-V4-Flash-0731-GGUF with Docker Model Runner:
docker model run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
- Lemonade
How to use unsloth/DeepSeek-V4-Flash-0731-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q4_K_XL
Run and chat with the model
lemonade run user.DeepSeek-V4-Flash-0731-GGUF-UD-Q4_K_XL
List all available models
lemonade list
KLD Benchmarks + why Q8_K_XL vs MXFP4 naming
pinned👍 6
6
#11 opened 3 days ago
by
danielhanchen
Run DeepSeek-V4-Flash-0731 in Unsloth! 🦥♥️
pinned👍🔥 16
8
#6 opened 3 days ago
by
danielhanchen
How did you quantize without imatrix?
#27 opened about 10 hours ago
by
Wladastic
dspark-DeepSeek-V4-Flash-0731-Q8_0.gguf FAILS to load in the latest llama-server
➕ 1
3
#26 opened about 14 hours ago
by
Nerdsking
UD-IQ4_XS 137 GB or UD-IQ4_NL 137 GB?
#25 opened about 24 hours ago
by
BingoBird
DeepSeek V4 @ IQ3XXS on M1 Ultra 128GB- 6 tok/s -> 16 tok/s in LM Studio after patch
#24 opened 1 day ago
by
jeevacation2
CUDA ERROR for omp
2
#23 opened 1 day ago
by
Butterfly-314
For DGX Spark (GB10) owners: a vLLM alternative to GGUF with the native DSpark speculative head - ~10 tok/s, 256K ctx, tool calling
1
#22 opened 1 day ago
by
wiklif
Why do the K quants use I quants?
#21 opened 2 days ago
by
LagOps
Success to run unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q8_K_XL with 2xA100/80G
2
#20 opened 2 days ago
by
weisunding
Great agentic results even with IQ1_S!
👍🤗 8
2
#19 opened 2 days ago
by
phakio
Best way to run on Dual RTX 6000 Pro Blackwell?
2
#18 opened 2 days ago
by
jhgoodwin
Running IQ2_M on an HP ZBook Ultra G1a (Strix Halo, 128 GB Unified Memory) at 11.49 tok/s with a 1M Context
🔥👍 4
3
#17 opened 2 days ago
by
AI-Joe-git
In mac it falls back to CPU. Any ideas?
👀 1
#16 opened 2 days ago
by
Grossor
Where is Dspark?
🔥 2
3
#15 opened 2 days ago
by
NKLAR5
pp sucks
8
#14 opened 2 days ago
by
gopi87
There’s an inexplicable VRAM hogging issue with this version of DeepSeek Flash compared to the previous one.
👍 1
1
#13 opened 2 days ago
by
Kosh69
3bit working, 4bit not
👍 4
2
#12 opened 3 days ago
by
tasticleeze
Dual RTX3090 and 64GB DDR4 + 78GB Swap. Speed: ~1.78 TPS
🤝👍 4
13
#8 opened 3 days ago
by
robert1968
Best inference engine to use at the moment for the full quant on 96gb vram
7
#4 opened 3 days ago
by
void009
Pulling UD_Q8 right now, MTP questions lol
5
#3 opened 3 days ago
by
Chuck572
Lossless UD-Q8_K_XL. UD-Q4_K_XL also provided for now
❤️🔥 15
10
#2 opened 3 days ago
by
danielhanchen
Awww yiss
🚀🔥 25
10
#1 opened 4 days ago
by
CurbStomper