This repo is now an informational page. The checkpoint weights that used
to live here have been removed (2026-08-16): the conversion is superseded
and there is nothing to download.
In plain English: this was a repackaging of DeepSeek V4 Flash (0731,
abliterated) with the routed-expert weights in NVIDIA NVFP4 format. Since
then, faster and better-supported paths won out — so instead of these
weights, use:
Server-class Blackwell / RTX PRO stacks: the NVFP4 conversion notes
below remain for reference, but the weights are gone; run your own cast
with NVIDIA TensorRT Model Optimizer.
What four DGX Sparks do with the 32-32 checkpoint today
Source:
apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 — routed experts were packed MXFP4 E2M1 with per-32 UE8M0 scales; we used NVIDIA ModelOpt's lossless MXFP4→NVFP4 cast (no dequantize/requantize) with activation scales calibrated on 2× GB10 DGX Spark (128 public prompts, batch 4, seq 512).
Mixed precision by design: routed experts NVFP4 E2M1; attention/dense FP8 E4M3; shared-expert and MTP tensors retained.
Export audit at release: 8,657,043,456 / 8,657,043,456 blocks cast, 33,024 tensors across 43 layers, 48/48 shards independently audited, zero structural errors.
Abliteration retention was verified at release against the upstream ablation manifest (all 36 named tensors bit-identical) plus a small behavioral suite (12/12 substantive, zero refusals).
The runtime bridge for the SM121 B12X path remains in
runtime/, the reference inference code in
inference/, and the DSV4 tokenizer encoding in
encoding/.
