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
| license: mit | |
| base_model: deepseek-ai/DeepSeek-V4-Flash-0731 | |
| tags: | |
| - gguf | |
| - deepseek | |
| - rocm | |
| - strix-halo | |
| - quantized | |
| # 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](https://huggingface.co/Lucebox/DeepSeek-V4-Flash-ROCMFPX) 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](https://huggingface.co/Geometric-AI/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. | |