---

license: mit

library_name: gguf

base_model: deepseek-ai/DeepSeek-V4-Pro-DSpark

base_model_relation: quantized

tags:

- gguf

- deepseek-v4

- dspark

- dflash

- speculative-decoding

- draft-model

- auxiliary-model

---

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.