Instructions to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

Use Docker

docker model run hf.co/dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

LM Studio
Jan
Ollama
How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF with Ollama:
```
ollama run hf.co/dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0
```

Unsloth Studio

How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF to start chatting

How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF with Docker Model Runner:
```
docker model run hf.co/dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0
```

Lemonade

How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

Run and chat with the model

lemonade run user.DeepSeek-V4-Pro-DSpark-Drafter-GGUF-Q8_0

List all available models

lemonade list

Hermes Agent

How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

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 dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0

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 "dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF:Q8_0" \
  --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"

DeepSeek V4 Pro DSpark drafters

This repository contains two DSpark auxiliaries for DeepSeek V4 Pro. They are not standalone language models and do not include target-model weights.

Artifacts

File	Routed experts	Dense projections	Bytes	SHA-256
`DeepSeek-V4-Pro-DSpark-Drafter-MXFP4-Q8_0-dflash.gguf`	MXFP4	Q8_0	42,079,461,248	`50b440862e90b86b14e90adab9c1d92aaaff4cf6ad7658b65232a78b87ffb0be`
`DeepSeek-V4-Pro-DSpark-Drafter-Q2_K-Q8_0-dflash.gguf`	Q2_K	Q8_0	26,621,353,856	`9e53ffd4fc6bd298ad4d1428f7da1d88615b266294ef2f1f4f95b9ac1279169a`

Both 81-tensor GGUFs use the standardized llama.cpp general.architecture=dflash schema. Use MXFP4 for higher routed-expert fidelity when the complete launch fits. Use Q2_K when memory is tighter.

Download

hf download dev7a/DeepSeek-V4-Pro-DSpark-Drafter-GGUF \
  DeepSeek-V4-Pro-DSpark-Drafter-MXFP4-Q8_0-dflash.gguf

Provenance and verification

The source is deepseek-ai/DeepSeek-V4-Pro-DSpark revision 7c09739fd136abfb70a49ec334157f65f45b52cd. Only source shards 64 through 66 contain the complete auxiliary. Their sizes and SHA-256 values are pinned in manifest/source.json.

The repository contains the deterministic converter, standardized dflash rewriter, independent numeric verifier, tests, build manifests, payload comparisons, and checksums. Both quantization recipes and both schema rewrites were repeated and produced byte-identical results.

The standardized files carry the complete target tokenizer copied through the official llama.cpp DeepSeek V4 DSpark converter at commit 15586e2d7165570fb3aa7c26e0d442e289ef69de, including tokenizer.ggml.mask_token_id=128799. The Flash-compatible artifact produced by the same builder passed a real llama.cpp draft-dspark decode with 120 draft tokens generated, 38 accepted, and no invalid -1 token.

Reproduce either artifact on Linux AArch64 with Python 3.14:

uv venv --python 3.14.6 .venv
uv pip install --python .venv/bin/python \
  --require-hashes --only-binary=:all: \
  -r requirements-linux-aarch64-py314.lock
.venv/bin/python scripts/download_sources.py --destination sources
.venv/bin/python -m unittest discover -s tests -v

recipe=mxfp4-q8_0
.venv/bin/python scripts/reproduce.py \
  --sources sources --recipe "$recipe" \
  --manifest-dir manifest --repeat-check
.venv/bin/python scripts/dflash.py \
  --sources sources --recipe "$recipe" \
  --legacy-input DeepSeek-V4-Pro-DSpark-Drafter-MXFP4-Q8_0.gguf \
  --target-tokenizer-gguf tokenizer.gguf \
  --manifest-dir manifest --repeat-check

Use recipe=q2_k-q8_0 and the corresponding Q2_K legacy filename to reproduce the compact variant.

Compatibility

Use these files only with a compatible DeepSeek V4 Pro target. The runtime must support the standardized llama.cpp dflash GGUF schema, MXFP4, and Q2_K as required by the selected file. Always validate the complete target and drafter memory plan before acquisition.

This is a community conversion, not an official DeepSeek release. The source-derived weights remain under DeepSeek's MIT license. Conversion code and third-party notices are provided in LICENSE.code and THIRD_PARTY_NOTICES.md.

Downloads last month: 483

GGUF

Model size

77B params

Architecture

dflash

Hardware compatibility

8-bit

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