Instructions to use Geometric-AI/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
- llama.cpp
How to use Geometric-AI/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 Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX # Run inference directly in the terminal: llama cli -hf Geometric-AI/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 Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX # Run inference directly in the terminal: llama cli -hf Geometric-AI/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 Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX # Run inference directly in the terminal: ./llama-cli -hf Geometric-AI/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 Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX # Run inference directly in the terminal: ./build/bin/llama-cli -hf Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX
Use Docker
docker model run hf.co/Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX
- LM Studio
- Jan
- Ollama
How to use Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX with Ollama:
ollama run hf.co/Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX
- Unsloth Studio
How to use Geometric-AI/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 Geometric-AI/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 Geometric-AI/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 Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX to start chatting
- Docker Model Runner
How to use Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX with Docker Model Runner:
docker model run hf.co/Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX
- Lemonade
How to use Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Geometric-AI/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
DeepSeek-V4-Flash-0731 — ROCmFPX (uniform baseline)
A ROCmFPX GGUF quantization of DeepSeek-V4-Flash-0731, built to run the full target locally on AMD Strix Halo (Ryzen AI MAX+ 395 / Radeon 8060S) in unified memory.
This is a baseline, deliberately. The format assignment here is uniform by tensor role — the same public ROCmFPX recipe, applied to the new checkpoint. It exists so that our own adaptive-format work has an honest "before" to be measured against, on the same checkpoint, with the same harness. It is not the interesting artifact; it is the control.
What's in it
| role | qtype | name | block | bits/weight | tensors |
|---|---|---|---|---|---|
| attention, dense | 101 | Q4_0_ROCMFP4_FAST |
17 B / 32 | 4.25 | 660 |
| down projections | 104 | Q3_0_ROCMFPX |
14 B / 32 | 3.50 | 43 |
| gate / up projections | 107 | Q2_0_ROCMFP2 |
10 B / 32 | 2.50 | 86 |
| passthrough (norms, embeddings, router) | — | F32 / Q6_K | — | — | 539 |
1328 tensors, single file, no companion sidecar required. The qtype histogram is an exact match to the published preview-era ROCmFPX artifact, which is what makes it a fair control: the format is held fixed and only the checkpoint differs.
What it is not
- Not the Lucebox artifact. Lucebox's published
ROCMFPX GGUF is built from the
preview checkpoint. This is an independent build from
0731, matching their format. - Not adaptive. No learned codebooks, no per-expert format selection. Those land in separate repos.
- Not imatrix-calibrated. There is no calibration input at all: the assignment is fixed
by role in the export plan. If you are used to seeing
quantize.imatrix.*keys in a GGUF of this family, their absence here is correct and deliberate — see below.
Metadata provenance
This artifact was assembled using a metadata template taken from a published GGUF of the
same family, and it initially inherited that file's quantize.imatrix.* keys — which
described an imatrix calibration on someone else's build machine that played no part in
producing these weights. Those keys have been removed. What remains:
general.name = DeepSeek-V4-Flash-0731-ROCMFPX
geoquant.source_model = deepseek-ai/DeepSeek-V4-Flash-0731
geoquant.format = ROCmFPX uniform 101/104/107
geoquant.calibration = none
If a GGUF's metadata claims a method that did not produce it, every downstream comparison built on it is quietly wrong. Worth checking on any quant, not just this one.
Speculative decode
Pair with the drafter for DSpark speculative decode: DeepSeek-V4-Flash-0731-DSpark-Drafter-GGUF — extracted from this checkpoint's integrated MTP head, so it is matched to this target.
Measurements
Not published here yet. Throughput, prefill, accept rate and quality for this baseline and for the adaptive variants are being measured under one protocol on one box, and will be reported together. A number measured here and compared against a number quoted from somewhere else is not a comparison, so we would rather wait.
Integrity
sha256 24cacd61f17bd189807d2ea51aadbde81ff15f69c4f6e358c34952bbe58dbea8
file ds4-0731-uniform.gguf (102,320,631,200 bytes)
License
MIT, inherited from the base model.
- Downloads last month
- 2
We're not able to determine the quantization variants.
Model tree for Geometric-AI/DeepSeek-V4-Flash-0731-ROCMFPX
Base model
deepseek-ai/DeepSeek-V4-Flash-0731