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dev7a/DeepSeek-V4-Flash-0731-DSpark-Drafter-GGUF
DeepSeek-V4-Flash-0731-DSpark-Drafter-GGUF is a machine learning model from dev7a. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as mit.
This repository contains the compact DSpark auxiliary for DeepSeek V4 Flash 0731. It is not a standalone language model and does not include target-model weights.
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.gguf14.3 GB · 100%
From the Hugging Face model README
This repository contains the compact DSpark auxiliary for DeepSeek V4 Flash 0731. It is not a standalone language model and does not include target-model weights.
| File | Bytes | SHA-256 |
|---|---|---|
DeepSeek-V4-Flash-0731-DSpark-Drafter-Q2_K-Q8_0-dflash.gguf | 6,976,490,112 | 2c8065906a7b4d841e10f15b350ed14410fe715df3973e9622dccd278ed28e8e |
DeepSeek-V4-Flash-0731-DSpark-Drafter-IQ2_XXS-MXFP4-Q8_0-dflash.gguf | 7,302,985,888 | e4b2b63356e11823c81eb2d3dc9739ae3c2935b970747c9b3be101548a3c17ec |
The routed experts use Q2_K. Dense projections use Q8_0. The 81-tensor GGUF
uses the standardized llama.cpp general.architecture=dflash schema.
The Q2_K artifact is the smallest option. The mixed artifact uses IQ2_XXS for the gate and up routed-expert tensors and preserves the down routed-expert tensors in native MXFP4. Its remaining quantized tensors use Q8_0. The mixed recipe follows the small-drafter design from antirez/ds4 issue 642 and keeps more expert fidelity while remaining suitable for 128 GiB Apple Silicon Macs. The target, drafter, KV cache, runtime buffers, and other loaded models must still fit together.
Unsloth publishes a full-MXFP4 Q8_0 drafter and a BF16 drafter. This repository provides the smaller mixed expert recipe that Unsloth does not publish.
hf download dev7a/DeepSeek-V4-Flash-0731-DSpark-Drafter-GGUF \
DeepSeek-V4-Flash-0731-DSpark-Drafter-IQ2_XXS-MXFP4-Q8_0-dflash.gguf
The source is deepseek-ai/DeepSeek-V4-Flash-0731 revision
9e165c30e2704aec5d9d593cce3eebd58bbef1cb. The repository contains the
pinned source manifest, the Q2_K converter, standardized dflash rewriters,
verification scripts, tests, build manifests, and checksums.
Both releases passed these schema checks:
dflash tensors with 32-byte alignment.15586e2d7165570fb3aa7c26e0d442e289ef69de, including
tokenizer.ggml.mask_token_id=128799.draft-dspark decode generated 120 draft tokens and
accepted 38, with no invalid -1 token.e470f38280d9ff4f020c242233998562a88463ee loaded the corrected Q2
file and completed an exact 32-token decode, drafting 47 and accepting 12.The Q2_K build also passed its numeric limits: maximum Q2_K block-relative
error 0.49072265625, below 0.5, and maximum Q8_0 block-relative error
0.00396728515625, below 0.01.
The mixed artifact was converted with antirez/ds4 pull request 645 at commit
d147270d7422ba0eb55985c8d4075b9dfaa84bf1. It uses the public routed-MoE
importance matrix from antirez/deepseek-v4-gguf. The build manifest pins its
revision, checksum, and the deterministic MTP alias transformation.
Reproduce the 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
.venv/bin/python scripts/reproduce.py \
--sources sources --recipe q2_k-q8_0 \
--manifest-dir manifest --repeat-check
.venv/bin/python scripts/dflash.py \
--sources sources --recipe q2_k-q8_0 \
--legacy-input DeepSeek-V4-Flash-0731-DSpark-Drafter-Q2_K-Q8_0.gguf \
--target-tokenizer-gguf tokenizer.gguf \
--manifest-dir manifest --repeat-check
# The mixed legacy GGUF is produced with the pinned ds4 converter and imatrix.
.venv/bin/python scripts/rewrite_mixed_dflash.py \
DeepSeek-V4-Flash-0731-DSpark-Drafter-IQ2_XXS-MXFP4-Q8_0.gguf \
--target-tokenizer-gguf tokenizer.gguf \
--manifest-dir manifest
Use this file only with a compatible DeepSeek V4 Flash 0731 target. The runtime
must support the standardized llama.cpp dflash GGUF schema and the selected
Q2_K or IQ2_XXS/MXFP4 expert recipe.
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.