Qwen3.8-Flash-Next NVFP4 signed-W4 PLE sidecar

This repository contains a companion PLE sidecar, not a standalone model. It replaces the 51.200 GB / 47.684 GiB FP8 n-gram embedding table in RadixArk/Qwen3.8-Flash-Next-NVFP4 with a 28.800 GB / 26.822 GiB signed-W4/group-16 representation for use with a pinned downstream SGLang runtime.

You must separately download the exact base checkpoint at revision 7b719225242aacd3dbd3f9407468c2ee9a9d2594.

This is experimental downstream code, not a released SGLang quantization format. It was qualified only with TP=1 on an NVIDIA RTX PRO 6000 Blackwell (SM120), BF16 KV cache, and the exact code/image pins below. Do not enable fallback or reuse this sidecar with a changed or fine-tuned checkpoint.

Contents

File Shape Dtype Bytes SHA-256
qweight.u8 [320001536, 80] uint8 25,600,122,880 7e18b8dac400bda73b24a2dd135ca009163972031c7b83095ef1816650df3297
block_scales.f8 [320001536, 10] FP8 E4M3 3,200,015,360 667736278723db00dc70a7afc37aaf9131deab6e9345047f467035add7e09a1c
manifest.json source/layout contract JSON 13,451 a11028a945bac40c7a2d5f41f21c829a08f5d531c39184dda2a7c8731d7e1691

The table has 320,001,536 rows and 160 source values per row. Each group of 16 FP8 values becomes eight signed-INT4 packed bytes plus one FP8 E4M3 scale:

scale = max(max_positive / 7, max_negative / 8).clamp_min(2**-9)
scale = cast_to_float8_e4m3fn(scale)
q = round_to_nearest_even(value / scale).clamp(-8, 7)

Even dimensions occupy the low nibble and odd dimensions the high nibble, using four-bit two's-complement values. The checkpoint's outer BF16 scale is preserved exactly as 0.00019931793212890625.

This is a lossy quantization of the FP8 source. CPU/CUDA parity tests are bit-exact for the resulting W4 representation; that does not make it lossless.

The W4 PLE artifacts are derivative works of Qwen/Qwen3.8-Flash-Next, obtained from RadixArk/Qwen3.8-Flash-Next-NVFP4 revision 7b719225242aacd3dbd3f9407468c2ee9a9d2594. They were modified by quantizing the PLE from FP8 E4M3 to signed INT4 with group size 16 and E4M3 scales. They are distributed under the Qwen Community License 1.0 and are not official Qwen or RadixArk releases.

Strict source binding

The manifest binds this artifact to:

  • model revision 7b719225242aacd3dbd3f9407468c2ee9a9d2594;
  • model index SHA-256 da5ca9c3b65e48e151329e64e141c2fa700bf2f99aec53cc014e4b52a6ff7a84;
  • config SHA-256 e765305daba0951974308f4d32c075b52a6a45974730d273f2216718a994d624;
  • Hugging Face tree receipt SHA-256 f84acd65b08e4de8f9f1698b85136655f24ef04f9d8b2e739f102ff47c9fa572;
  • raw FP8 PLE SHA-256 b070f9644adf93794d8a1030584ab705809387e64396a9327a68fa3a3a6666b3;
  • all ten source PLE LFS objects and all 128 logical PLE shards.

The runtime streams both binaries directly into pinned CPU tensors while hashing them, rejects any digest/source/layout mismatch, gathers selected rows through CUDA UVA, and dequantizes them to BF16 on the GPU.

Runtime and reproduction

Source, patches, tests, sanitized evidence, serving example, and the field report are published at:

lEWFkRAD/qwen38-rtx-pro-6000/flash-next-w4-ple

Important pins:

  • SGLang Qwen4-Exp PR #36497 head: 73a255206f916366c8d26d4022f82ddfb0ab558d
  • Runtime image: lmsysorg/sglang@sha256:59f06adce6f91401adf443bd168d45fdb2044d77671fd591c7c57a29d851cbae
  • Sidecar manifest: a11028a945bac40c7a2d5f41f21c829a08f5d531c39184dda2a7c8731d7e1691
  • TP=1 and BF16 KV cache are required by the qualified profile.

Verify SHA256SUMS before mounting the artifact. Mount the checkpoint, sidecar, and patched runtime files read-only, and set SGLANG_QWEN4_PLE_W4_SIDECAR_FALLBACK=0.

License

qweight.u8, block_scales.f8, manifest.json, and manifest.sha256 are distributed subject to the included Qwen Community License 1.0. Preserve its copyright and permission notice. Certain commercial Model-as-a-Service and AI Work Assistant uses require a separate Qwen license; its large-product display requirements also continue to apply.

The accompanying SGLang-derived patches are separately distributed under Apache License 2.0 in the linked GitHub repository.

This is an independent community implementation and is not an official release of Alibaba Qwen, SGLang, NVIDIA, RadixArk, or FlashInfer.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Lewfkrad/Qwen3.8-Flash-Next-NVFP4-W4-PLE

Finetuned
(4)
this model