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Dyluhn/Qwen3.8-Flash-Next-Uncensored-exl3-sharedvec

Dyluhn MoE second-order
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  • classification m-uncensored
  • files 16
  • author_summary 3 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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created 2026-10-20

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Metadata

License
other
Tags
exllamav3 safetensors qwen4_exp exl3 moe uncensored qwen3.8 flash-next base_model:orcarouter/Qwen3.8-Flash-Next-Uncensored base_model:quantized:orcarouter/Qwen3.8-Flash-Next-Uncensored license:other region:us

Related

Total size
0 B
Files
16
Quantizations
1
Registered
2026-10-20 15:00
Last updated on HF
2026-10-20 15:07

Files by quantization

Auxiliary files 16 files 114 MB
quantization_config.json 92.1 MB 07da82a5 download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
tokenizer_config.json 17.5 KB 5de744b3 download
ORIGINAL_MODEL_CARD.md 12.5 KB 39148c4f download
chat_template.jinja 8.74 KB c0c686f9 download
config.json 4.96 KB 32bccab0 download
LICENSE 3.16 KB 9557a896 download
README.md 2.12 KB 93ace5a2 download
ALL_FILES.sha256 2.11 KB 52bd0a82 download
.gitattributes 1.64 KB a64c9e50 download
HOME_FILES.sha256 1.13 KB 3f3fbcb2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 202 B 023756cf download

README current version from Hugging Face


license: other
license_name: qwen-community-license-1.0
license_link: LICENSE
base_model: orcarouter/Qwen3.8-Flash-Next-Uncensored
base_model_relation: quantized
library_name: exllamav3
tags:

  • exl3
  • moe
  • uncensored
  • qwen3.8
  • flash-next

Qwen3.8-Flash-Next-Uncensored: EXL3, shared input vector, 4.03 bpw

An EXL3 quantization of orcarouter/Qwen3.8-Flash-Next-Uncensored
(commit d9dbbb7f49cad93a0e656ea69200f6b58600714a), made 2026-10-20.

How it was made

  • exllamav3 1.5.2 with turboderp's 4.05 settings (-b 4.05 -hb 6 -mb 4 --out_scales always -cb mul1, default
    calibration 250 x 2048), plus a per-tensor recipe that puts every routed expert at 4 bpw (the budgeted allocator
    would put layer 0's experts at 5). Attention 6 bpw; delta-net and shared experts 5-6 bpw, as turboderp's 4.05
    allocation; lm_head 6, vision 6, MTP head 4. Overall 4.03 bpw.
  • Shared input vector: within each layer, all routed gate/up matrices share one input sign/scale vector (suh),
    followed by a joint refit of the scales over the layer. This is for the shared-input-vector kernels of
    radiance-exl3 (in development). The tensors are in the standard EXL3
    format; this repo was not tested in exllamav3 itself.
  • The n-gram table ngram_embedding.safetensors is turboderp's, from
    turboderp/Qwen3.8-Flash-Next-exl3@55a732e0c4c3d4614bc42b68493bb930d9b02c0a. It applies unchanged: all 128 n-gram
    tensors of orcarouter's model are byte-identical to base Qwen3.8-Flash-Next's (checked).
  • Conversion log, progress log and the first-layer check are in logs/. ALL_FILES.sha256 lists every file's sha256
    as written by the converter.

Quality was not measured for this model. On base Qwen3.8-Flash-Next the same method (with turboderp's layer 0)
scored KL 0.0486 against bf16 vs 0.0467 for turboderp's 4.05 (difference not significant; see
Dyluhn/Qwen3.8-Flash-Next-exl3-sharedvec-radiance).

The original model card of orcarouter's model is kept as ORIGINAL_MODEL_CARD.md. Licence: Qwen Community License 1.0 (LICENSE).

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