Lucebox/DeepSeek-V4.1-Flash-DSpark-GGUF overview
DeepSeek V4.1 Flash DSpark drafter GGUF The speculative decoding drafter for DeepSeek V4.1 Flash in the Lucebox engine https://github.com/Luce Org/lucebox . It…
Runs locally from ~4.58 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
Model README
---
license: mit
base_model: deepseek-ai/DeepSeek-V4.1-Flash
tags:
- gguf
- speculative-decoding
- dspark
- deepseek
- lucebox
---
DeepSeek V4.1 Flash DSpark drafter (GGUF)
The speculative-decoding drafter for DeepSeek V4.1 Flash in the
Lucebox engine. It is the draft block
DeepSeek ships inside the checkpoint (the mtp.* tensors: three stages, 128
routed experts top-3, a block of five tokens), converted to GGUF. The target
model drafts nothing itself; this file proposes tokens and the target verifies
them in one pass, and every verified token is bit-identical to plain decoding.
| file | size | sha256 |
|---|---:|---|
| DeepSeek-V4.1-Flash-DSpark-draft-MXFP4-Q8.gguf | 7.4 GiB | 3c96c3ee7801e5f166428b946e7590dbcf259b2ffe1fb09dd5fbed7d96bfe894 |
| DeepSeek-V4.1-Flash-DSpark-draft-Q2K-Q4K.gguf | 4.6 GiB | 5efffdb5ab4769bac7192fd2ce7c08cfa37945cad37be0825526c83139ef200a |
Routed experts are repacked bit-exactly to MXFP4, dense projections are Q8_0.
The Q2K-Q4K build requantizes the same drafter (routed experts Q2_K, dense
projections Q4_K) for the 192 GB setup, where the drafter shares the R9700 with
12 GB of hot experts: it leaves room for larger prompt chunks and drafts faster,
with about the same acceptance.
Converted with server/scripts/convert_ds4_dspark_draft_to_gguf.py from the
Run
With the target from
Lucebox/DeepSeek-V4.1-Flash-ROCMFP23-GGUF
on a Lucebox with 128 GB (AMD Radeon AI PRO R9700 + Ryzen AI MAX+ 395):
luce_server DeepSeek-V4.1-Flash-ROCMFP2S.gguf \
--profile ds41-lucebox \
--draft DeepSeek-V4.1-Flash-DSpark-draft-MXFP4-Q8.gguf
With 192 GB (Ryzen AI MAX+ PRO 495) every expert stays in memory, with the
smaller drafter and an expert placement and router bias fitted to the box:
luce_server DeepSeek-V4.1-Flash-ROCMFP2S.gguf \
--profile ds41-gorgon \
--draft DeepSeek-V4.1-Flash-DSpark-draft-Q2K-Q4K.gguf \
--ds4-expert-placement placement.json \
--ds4-router-bias router_bias.bin
Lucebox Manage installs the files and the fitted layout, and picks the launch
for the box's memory from its Engine page.
Measured
--profile ds41-gorgon with the Q2K-Q4K drafter, 192 GB, fresh server:
| prompt | prompt reading | decode |
|---|---|---|
| code, 36 tokens, 256 out | - | 49.4-49.5 tok/s |
| 2,027 tokens, 256 out | 811 tok/s | 32.0-32.6 tok/s |
| 30,752 tokens, 256 out | 1,039 tok/s | 31.8 tok/s |
--profile ds41-lucebox at its 128K context, first request after start
(DS41 guide):
| prompt | decode |
|---|---|
| code, 29 tokens, 256 out | 25.4-25.9 tok/s |
| 3,981 tokens, 128 out | 16.8-17.6 tok/s |
| 21,420 tokens, 32 out | 13.7 tok/s |
The engine verifies three drafted tokens per step by default (LUCE_DS4_SPEC_Q,
2 to 6), the fastest on the Lucebox.
License
MIT, as the source checkpoint.
Run Lucebox/DeepSeek-V4.1-Flash-DSpark-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models