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Jiunsong/SuperQwen3.8-27b-abliterated-NVFP4-2xDGX

Jiunsong Qwen 27B multimodal
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  • classification m1
  • files 23
  • author_summary 35 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · 30-day
11
Likes
0
Model age
7w ago
created 2026-08-24

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en ko
Quantizations
BF16
Tags
transformers safetensors qwen3_5 image-text-to-text qwen3.8 qwen3.5 multimodal reasoning tool-calling long-context 1m-context uncensored

Related

Total size
19.1 GB
Files
23
Quantizations
2
Registered
2026-08-24 03:02

Files by quantization

BF16 1 file 810 MB
model-mtp-bf16.safetensors 810 MB 2a83d7c1 download
Auxiliary files 22 files 18.4 GB
model-00004-of-00005.safetensors 4.66 GB d0deb4f8 download
model-00002-of-00005.safetensors 4.65 GB 64853350 download
model-00003-of-00005.safetensors 4.65 GB 2c5415ac download
model-00001-of-00005.safetensors 2.37 GB df446302 download
model-00005-of-00005.safetensors 2.03 GB f8fc4537 download
tokenizer.json 19.1 MB 06b95093 download
model.safetensors.index.json 272 KB 5c418317 download
abliteration_config.json 48.7 KB 9621fc9f download
tokenizer_config.json 16.0 KB 92f4737d download
config.json 15.3 KB 851f2840 download
LICENSE 11.3 KB f938136e download
chat_template.jinja 8.81 KB 1a8a2a3d download
SHA256SUMS.json 8.60 KB 04d8730f download
README.md 7.74 KB 8260938e download
abliteration_verification.json 6.84 KB a9ea67b1 download
quantization_verification.json 3.82 KB 0de4d0bd download
quantization_provenance.json 2.88 KB 9a548b7a download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
overthinking_template_report.json 538 B 49ac5cdb download
recipe.yaml 256 B 3bbc8398 download
generation_config.json 214 B a7aa1d4c download

README current version from Hugging Face


license: apache-2.0
library_name: transformers
pipeline_tag: image-text-to-text
base_model: Qwen/Qwen3.8-27B
base_model_relation: finetune
tags:

  • qwen3.8
  • qwen3.5
  • multimodal
  • image-text-to-text
  • reasoning
  • tool-calling
  • long-context
  • 1m-context
  • uncensored
  • abliterated
  • obliteratus
  • supertune
  • vllm
  • nvfp4
  • w4a4
  • quantized
  • dgx-spark
  • speculative-decoding
    language:
  • en
  • ko

SuperQwen3.8-27b-abliterated-NVFP4-2xDGX

The DGX Spark performance release: true W4A4 NVFP4, stable K=1 speculative decoding, corrected overthinking, two-node scale-out, and verified 1M retrieval.

Precision
Decode
Two node
Overthinking
Context
License

SuperQwen3.8-27b-abliterated-NVFP4-2xDGX is the performance-focused compression of
Jiunsong/SuperQwen3.8-27b-abliterated. It uses
compressed-tensors W4A4 NVFP4 with group size 16, preserves quality-sensitive
paths in BF16, and ships with the MTP layer required for Qwen speculative decoding.

Release highlights

Format True NVFP4 W4A4, group size 16; 5 packed shards + 1 BF16 MTP shard; about 19.15 GiB
Protected exactly Vision, MTP, conv1d, and lm_head
Calibration 32 × 8,192-token samples, deterministic seed 38027
Stable speculative default K=1, TRITON draft attention; quality-selected after a complete K=0…7 scan
Single-node decode 17.7532 tok/s C1, 86.1382 tok/s C6 aggregate at p256
Two-node scale-out 95.9850 tok/s C6 aggregate across two independent DGX Spark replicas
Behavior Refusal 18/32 → 0/32, tool PASS, vision PASS, overthinking 36/36
Context Native 262,043-token retrieval at K=1; 1,000,045-token YaRN retrieval at K=0

Why run this model

  • About 2.4× faster than BF16 at C6 on the measured single DGX: 38.5630 → 86.1382 tok/s.
  • Two-node aggregate throughput: 95.9850 tok/s with independent replicas and round-robin dispatch.
  • Speculative decoding without quality theater: raw K=3/K=6 speed winners were rejected when quality regressed; K=1 passed every release gate.
  • Overthinking corrected: bounded default reasoning and an explicit xhigh stop guard, verified 36/36.
  • Multimodal and tools preserved: vision tensors, tool behavior, and the output head pass their release checks.

Quantization and integrity

Component Precision / treatment
Eligible linear weights and activations NVFP4 W4A4, group size 16
Vision tower Protected, exact
MTP BF16 protected shard, exact
conv1d paths Protected, exact
lm_head BF16, exact
Serving KV cache FP8 in the measured profile

Structural verification covers 496 packed tensors: 64 full-attention, 192 MLP,
and 240 linear-attention tensors. The index and every packed shard are identified by
SHA-256 under evidence/. The full provenance chain is pinned to
Qwen/Qwen3.8-27B@1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0.

Stable speculative decoding

All K values from 0 through 7 were measured. K=3 was the raw C6 speed winner and K=6
the raw C1 winner, but K=3/K=4 reproduced a deterministic translation overthinking
failure. They were rejected. Independently reloaded K=1 passed:

  • capability 7/8, tool PASS, vision PASS
  • refusal 0/32 and empty 0/32
  • overthinking 36/36 across default, low, medium, xhigh
  • native 262,043-token needle retrieval

Use K=1 through the native 262K window. Use K=0 for the verified YaRN 1M
profile
, because the official MTP draft configuration itself is limited to 262,144.

Bounded reasoning

Unspecified reasoning now defaults to bounded medium, not upstream xhigh. Explicit
xhigh remains available but carries a repeat/restart stop condition. This targets the
common failure mode where a correct answer is found and then reconsidered into a wrong
or needlessly long answer.

Decode performance

The contract follows sparkDash: aggregate
post-first-token decode, distinct prompts, fixed-length output, thinking disabled.

Topology Prompt / concurrency Aggregate decode
1× DGX Spark, K=1 p256 / C1 17.7532 tok/s
1× DGX Spark, K=1 p256 / C6 86.1382 tok/s
2× independent DGX Spark replicas, K=1 p256 / C6 95.9850 tok/s

These are aggregate concurrent figures. They are not single-stream speed, and the
two-replica result is not mislabeled as TP=2.

Two-node DGX Spark

The recommended high-throughput topology is one K=1 replica per DGX Spark with
round-robin request dispatch. It avoids slow cross-node collectives and scales complete
requests independently.

  • Both nodes run the same artifact bytes and the same serving flags.
  • C6 uses six distinct concurrent prompts, three routed to each endpoint.
  • K=1 is the release default; K=0 is the exact-quality and 1M fallback.

Verified long context

Runtime Actual prompt tokens Needle retrieved
Native, K=1 262,043 Yes
YaRN, K=0 1,000,045 Yes

Serving

QWEN38_SPECULATIVE_TOKENS=1   QWEN38_MAX_MODEL_LEN=262144   bash repro/scripts/serve_superqwen38_replica.sh   /model SuperQwen3.8-27b-abliterated-NVFP4-2xDGX 8888

The measured profile uses TRITON attention, FP8 KV cache, prefix caching, asynchronous
scheduling, chunked prefill, and eager execution. See repro/ for the exact launcher.

Uncensored behavior

“Abliterated” means the measured refusal direction was reduced. It is not a claim of
universal truthfulness or safety. Operators remain responsible for policy and access
control appropriate to their deployment.

Limitations

  • W4A4 compression can regress tasks outside the measured gates.
  • K>1 was intentionally not released as the default because deterministic quality regressed.
  • MTP speculative decoding is bounded to its native 262,144-token draft configuration.
  • 1M is verified with YaRN and K=0; latency is substantially higher than native context.
  • Throughput figures are specific to the measured DGX Spark runtime.

Evidence identities

Evidence SHA-256
abliteration verification 3355e3843b6f7765fdae7e7c41593132d75e311f7b5c6371a8afaadee7675734
bounded-thinking template 11eadfd51d237324252e887e65daf59c55f10fb0f1d0b71c9b8f131c88ba9d4e
parent refusal baseline c1c8f8672f0a40a57c20153445fc7d76290b59716fc5ca9a6fb03881976c7a99
BF16 release gate 64639420cf9b0d2c5a25dd71b96a453092a26e600d74315257cc2633211c180b
BF16 refusal gate cf9683dcaca9eb741d138b6de3c4d53b15f747d27c0071b0b9538716123c4903
BF16 1M retrieval 7e59e289df043104880c5e2569192c78ffe2aa0056e9c3c2b8244089b41dfc09
NVFP4 provenance 0da8a09e55b29bf6dee4c78d97a1cf5fac56f16e00ce02c7df3d9b21fe85b767
stable MTP selection a11b7b7841152c64a501a4aeb0dd7ac2cdbf5eb896ed35a13a8512eafcd334ff
NVFP4 1M retrieval 78829b89b329c50296d67eb3729e7b79e483be1ecdf2b3cf2120beb758e6d4f5
two-node replica throughput 32ff903cb9ca0790b565ab45b6b501dc70ba0db09b17be647d7d235bc3fce363
TP=2 comparison d974ee3aad7d95185c71ad3f28dd35b9e2981e9f8682c4e6306b4ac2b4fbd847

License

Apache-2.0, following the upstream Qwen3.8 release.

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