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

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	42,074,214,112	cb46e72f933c8b48b745621a17d9db4bc3cfc950ef7b59b5564920cf55f501fa
DeepSeek-V4-Pro-DSpark-Drafter-Q2_K-Q8_0-dflash.gguf	Q2_K	Q8_0	26,616,106,720	4dd727a7e9a52b580867b1725d1ce12a7ff5953c3473bd78a32241f3a68fe3e4

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.

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 \
  --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.