玩模型开放模型 · 清晰来源 · 自主选择
返回模型目录
SenseiHans /

Qwen3.8-Flash-Next-Uncensored-Q4_K_XL-Gufo

HF 源站

SenseiHans/Qwen3.8-Flash-Next-Uncensored-Q4_K_XL-Gufo is an uncensored open-source model hosted on Hugging Face.

Text GenerationGGUFLicense: othergufostrix-haloqwenuncensoredabliteratedMoErequantizedamd-rocm
README.md说明 / 使用方法

license: other license_name: qwen-community-license-1.0 license_link: https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE base_model:

  • Qwen/Qwen3.8-Flash-Next pipeline_tag: text-generation library_name: gguf tags:
  • gguf
  • gufo
  • strix-halo
  • qwen
  • uncensored
  • abliterated
  • MoE
  • requantized
  • amd-rocm

Qwen3.8-Flash-Next Uncensored — Q4_K_XL-Gufo

gufo-compatible requantization of the community "Abliterated" (uncensored) fine-tune of Qwen3.8-Flash-Next — prepared for the gufo inference engine on AMD Strix Halo (gfx1151).

Created 2026-10-23 from the existing 3-shard GGUF Qwen3.8-Flash-Next-Uncensored-Q4_K_S — no new fine-tuning run, purely a layout/metadata correction that makes the same weights readable by gufo.

Lineage

  1. Qwen/Qwen3.8-Flash-Next — base model (architecture qwen4exp: 48 blocks, 512 experts, size label 512x56B, 262 144 native context)
  2. Community fine-tune Uncensored / Abliterated (AI red-team) — orcarouter/Qwen3.8-Flash-Next-Uncensored
  3. GGUF export Q4_K_S — orcarouter/Qwen3.8-Flash-Next-Uncensored-GGUF (3 shards, ~105 GiB, imatrix quantization)
  4. This requantization for gufo (see "What was changed")

What was changed (and why)

The gufo engine validates a per-tensor format whitelist and the index-ring geometry while creating the model. The original Q4_K_S export failed both and was rejected by gufo. This copy passes:

ChangeDetail
716 tensor dtypes upgradedControl / attention / hyper-connection / SSM / PLE tensors moved from q4_k / q5_0 / q5_k to q8_0 or f32 — layout taken 1:1 from the validated UD-Q4_K_XL reference profile
PLE embeddingsThe 51-billion-element embedding tensor converted from q5_0 to iq4_nl (saves size, matches the reference profile)
Export bug fixedqwen4exp.attention.compress_ratios was zeroed out in the original export; corrected to the [0,0,0,4, …] pattern (full attention on every 4th block)
Result~103.5 GiB across 3 shards, MTP-sidecar compatible (shared-Q8, 7 draft tokens), vision-ready (mmproj BF16)

Quality note: the upgraded tensors contain no new information — they are the same weights as the Q4_K_S export, just stored loss-free where gufo demands high-precision input. Net effect vs. the original GGUF: equal to slightly better (critical tensors are no longer hard-quantized to q4_k).

Files

Qwen3.8-Flash-Next-Uncensored-Q4_K_XL-Gufo-00001-of-00003.gguf  (39.7 GB)
Qwen3.8-Flash-Next-Uncensored-Q4_K_XL-Gufo-00002-of-00003.gguf  (47.7 GB)
Qwen3.8-Flash-Next-Uncensored-Q4_K_XL-Gufo-00003-of-00003.gguf  (23.7 GB)

Usage (gufo)

podman run --rm --name gufo --device /dev/dri --device /dev/kfd \
  --group-add keep-groups --security-opt seccomp=unconfined --ipc=host \
  --security-opt label=disable --userns=keep-id -p 8028:8028 \
  -v <MODEL_DIR>:/models/target:ro \
  docker.io/kyuz0/amd-strix-halo-toolboxes:rocm-10.0-gufo \
  gufo serve --host 0.0.0.0 --port 8028 --sessions 2 llm \
  --model /models/target/Qwen3.8-Flash-Next-Uncensored-Q4_K_XL-Gufo-00001-of-00003.gguf \
  --context 262144 --max-tokens 32768 --served-model-name Qwen3.8-Flash-Next \
  --think on --reasoning-effort high

How this model runs in the AI Toolbox ecosystem (headless autostart via file mode, discrete model swap, LiteLLM) is documented in docs/AI-TOOLBOX-SETUP.md — including what the cockpit itself can and cannot do with gufo.

Full provenance: the exact per-tensor dtype tables used for the requantization ship in docs/ — gufo-requant-minimal-rules.txt (the 716 exact-name rules actually applied), gufo-requant-tensortypes-exact.txt (the complete 1224-entry reference table read from the UD-Q4_K_XL shards) and gufo-requant-tensortypes.txt (the condensed pattern list).

License — please read (documented license discrepancy)

The licensing of this model is not as clean as the embedded metadata suggests:

SourceDeclares
Embedded GGUF metadata of these shards (general.license, inherited from the OrcaRouter export)apache-2.0
Base-model repo Qwen/Qwen3.8-Flash-Next, license file LICENSEQwen Community License 1.0 (card tags: license: other, license_name: qwen-community-1.0)
Direct GGUF source repo (orcarouter/…-Uncensored-GGUF)no license file, no license tag
Fine-tune repo (orcarouter/…-Uncensored)a LICENSE file exists but is gated (HTTP 401); content not verifiable publicly

How we handle it. Legally decisive is the license of the source repositories: the weights derive from the Qwen base model, and a "mere" conversion or requantization cannot grant more rights than the upstream license allows. Therefore this copy is redistributed under the terms of the Qwen Community License 1.0 — its full text ships in LICENSE. The apache-2.0 claim embedded by the GGUF exporter is documented here (and kept untouched in the metadata), but it cannot override the upstream license text for the weights. The lineage is preserved in the GGUF metadata (general.base_model.*).

Good news: the Qwen Community License 1.0 is essentially MIT with model-specific additions — it explicitly permits use, modification, fine-tuning, distribution and sale of the weights. Conditions: (1) keep the copyright/permission notice (the prominent-name clause only applies above 100 M monthly active users or USD 20 M monthly revenue); (2) a separate Qwen license is required only for commercial "Model-as-a-Service" or "AI Work Assistant" businesses. Private and local use — like this one on Strix Halo — only carries the notice requirement.

Disclaimer: documented as found, not legal advice. A friendly question to OrcaRouter or Qwen clears the last ambiguity.

Acknowledgements

  • @kyuz0 — ai-toolbox-cockpit and the Strix Halo toolbox images that run gufo here. Many thanks!
  • gufo-org — for the engine
  • the Qwen team — for the base model
  • Unsloth — whose validated UD-Q4_K_XL layout served as the reference recipe
  • @orcarouter — for the uncensored/abliterated fine-tune and the original GGUF export on which this requantization is based
HUGGING FACE

上游数据

HF 下载量0
HF 点赞量0

HF 下载量为源站最近 30 天统计,与本站点击分开。

SITE STATS

本站统计

下载点击—
请求数—
匿名去重—最近 7 天—

本站下载量记录按钮点击,不代表下载完成;短时连点会去重。

来源与版本

作者
SenseiHans
最近更新
2026/10/23
最新创建
2026/10/23
HF 趋势
850
数据快照
2026/10/23
版本
未知
许可证
other