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AbrahamPJ/neodragon-npu-s25u
neodragon-npu-s25u is a text-to-video model from AbrahamPJ. Use it when you need video from a text prompt. It is set up for qnn. The card lists the license as bsd-3-clause-clear.
Pre-compiled QAIRT / QNN context binaries for the Neodragon autoregressive text-to-video pipeline, targeting the Hexagon HTP v79 NPU in the Samsung Galaxy S25 Ultra (SM8750).
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Updated Sep 13, 2026
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From the Hugging Face model README
Pre-compiled QAIRT / QNN context binaries for the Neodragon autoregressive text-to-video pipeline, targeting the Hexagon HTP v79 NPU in the Samsung Galaxy S25 Ultra (SM8750).
These are the exact artefacts the companion Android app loads at runtime. They are
device-specific: compiled for soc_model 69 / HTP v79. They will not load on a
v75 or earlier Hexagon.
13 binaries. The three mmdit_*fs graphs replace the older mmdit_s0g/s1f/s2f, which may still be present for rollback.
| file | bytes | role |
|---|---|---|
mmdit_s0fs_v79.bin | 1,525,163,128 | Pyramidal MMDiT, stage 0 (408 tokens) |
mmdit_s1fs_v79.bin | 1,533,523,064 | Pyramidal MMDiT, stage 1 (648 tokens) |
mmdit_s2fs_v79.bin | 1,573,344,888 | Pyramidal MMDiT, stage 2 (1728 tokens) |
quicksrm2x_v79.bin | 377,880 | QuickSRNet Medium 2x, 320x512 -> 640x1024 |
ctxadaptfp16_v79.bin | 260,531,784 | Context adapter (FP16) |
distilt5f_v79.bin | 260,050,504 | DistilT5 text encoder |
vaeenc_v79.bin | 41,667,768 | Causal video VAE encoder |
vaedecsn_v79.bin | 12,104,632 | Causal video VAE decoder (streaming, NHWC states) |
clipl_v79.bin | 233,993,824 | CLIP L (first-frame path) |
cliplp_v79.bin | 249,451,112 | CLIP L with projection (video path, pooled) |
clipg_v79.bin | 1,402,277,416 | CLIP G |
ssd1bunet_v79.bin | 1,358,184,480 | SSD-1B UNet (LCM, 4 steps) |
ssd1bvaedec_v79.bin | 85,467,216 | SSD-1B VAE decoder |
The
*fsMMDiT binaries supersedemmdit_s0g/s1f/s2f. They contract the attention score once at full width instead of as two half-width MatMuls plus an add. That is arithmetically identical in fp32 (126 dB against the stock model) but avoids quantising two large, partially-cancelling terms separately -- worth +10.9 / +12.2 / +12.0 dB, and it puts every stage past its paper target for the first time. Accelerator cycles fall 4.4% as well.
Byte sizes are load-bearing: the app verifies every download by exact length. Large transfers to this device have silently truncated more than once while reporting success.
All graphs are W8A16 (per-channel 8-bit weights, 16-bit activations) except the context adapter, which is FP16. Deploy SNR is measured on device against the fp32 reference, per module:
| module | measured | paper target |
|---|---|---|
| DistilT5 | 49.04 dB | — |
| VAE encoder | 41.60 dB | 40 |
| VAE decoder | 34.27 dB | 35 |
| MMDiT stage 0 | 39.67 dB | 29 |
| MMDiT stage 1 | 37.80 dB | 22 |
| MMDiT stage 2 | 33.89 dB | 24 |
| SSD-1B UNet | 32.51 dB | — |
| QuickSRNet | not yet measured | 48 |
QuickSRNet here is W8A16 + CLE. The paper uses W8A16 + AdaRound and credits AdaRound with "7+ dB SQNR" on this module, so expect it to land below 48 dB.
Prompt -> 49-frame video: 23.5-26.9 s (measured before the *fs rebuild).
Prompt -> single 640x1024 image: 2.1-2.5 s warm, ~5 s on the first tap of a
cold app. Peak app RSS 238-268 MB (binaries are mmap'd, never heap-copied).
The app fetches each file from <baseUrl>/<name>_v79.bin and places it in its external
files dir. For this repo:
https://huggingface.co/AbrahamPJ/neodragon-npu-s25u/resolve/main
This repo is private; the download path sends an Authorization: Bearer <hf_token>
header. Use a fine-grained, read-only token scoped to this repo.
Converted from Qualcomm-AI-Research/Neodragon, which is released under BSD-3-Clause-Clear. That license governs these derived artefacts, and its terms — including the patent clause — carry over. Original work and weights are Qualcomm's; this repo contains only a device-specific recompilation.
Paper: Neodragon, arXiv:2511.06055.
Conversion toolchain: QAIRT SDK 2.49.0.260730 (qnn-onnx-converter →
qnn-context-binary-generator). The QAIRT SDK itself is not redistributed here.
Port and conversion work: T2V_NPU.