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0bserverx/Qwen3.8-Flash-Next-RVN-Uncensored-GGUF

0bserverx GGUF MoE second-order
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Response includes
  • classification m-uncensored
  • files 2
  • author_summary 8 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
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · 30-day
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Likes
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Model age
6w ago
created 2026-08-31

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
other
Tags
region:us

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-08-31 18:03
Last updated on HF
2026-08-31 17:53

Files by quantization

Auxiliary files 2 files 3.69 KB
README.md 2.21 KB 96baba1a download
.gitattributes 1.48 KB a6344aac download

README current version from Hugging Face


library_name: gguf
license: other
license_name: qwen-community-1.0
license_link: https://huggingface.co/0bserverx/Qwen3.8-Flash-Next-RVN-Uncensored/blob/main/LICENSE
pipeline_tag: text-generation
base_model: 0bserverx/Qwen3.8-Flash-Next-RVN-Uncensored
tags:

  • gguf
  • llama.cpp
  • qwen4-exp
  • mixture-of-experts
  • uncensored
  • rvn

Qwen3.8-Flash-Next RVN Uncensored — GGUF

Split GGUF builds of 0bserverx/Qwen3.8-Flash-Next-RVN-Uncensored.

Scope

  • Text/main model only.
  • NextN/MTP speculative draft tensors excluded.
  • Vision projector excluded.
  • Every quant is produced from a verified 16-bit main checkpoint.
  • Files are split below the Hugging Face per-file limit.

Quant matrix

This table is updated only after each artifact passes tensor inventory, llama.cpp load, and real generation canaries.

Quant Status Notes
BF16 building 16-bit master
F16 building 16-bit master
Q8_0 queued high fidelity
Q6_K queued high fidelity
Q5_K_M queued recommended high quality
Q4_K_M queued recommended balanced
Q3_K_M queued compact
Q2_K / IQ / other supported types queued published only when verified

Evaluation summary

Gate Result
RR100 substantive compliance 65/100
RR100 effective rejection 34/100
Protected child-safety gate 5/5 pass
Benign coherence 20/20

See the parent model card for methodology, caveats, and provenance hashes.

llama.cpp

Use a recent llama.cpp build that supports qwen4exp. For split models, load the first shard:

llama-cli -m Qwen3.8-Flash-Next-RVN-Q4_K_M-00001-of-000NN.gguf \
  -ngl 99 -c 8192 --single-turn \
  -p "Explain why the sky appears blue in one paragraph."

Integrity policy

A quant is not uploaded merely because llama-quantize exits successfully. Each published family must pass:

  1. GGUF metadata/tensor census;
  2. no NextN/MTP tensor check;
  3. llama.cpp load;
  4. deterministic generation canary;
  5. dequantization/non-finite audit where supported;
  6. recorded SHA-256 and byte inventory.

License

The original Qwen Community License 1.0 applies.

Discussions 3 threads

  1. 2026-09-24This model is lobotomized (accidently?)open1 💬#3
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  2. 2026-09-06Orcarouter comparisonopen4 💬#2
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  3. 2026-09-05MTP shards, mmproj, and the V6 imatrix calibration setopen1 💬#1
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