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klee100 /

Qwen3.8-Flash-Next-Uncensored-AutoRound-3bpw-MTP

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klee100/Qwen3.8-Flash-Next-Uncensored-AutoRound-3bpw-MTP is an uncensored open-source model hosted on Hugging Face.

safetensorsChineseEnglishMultilingualLicense: otherqwen4_expqwen3.8auto-roundsignroundv2mixed-precisionagentic-codingmtpvision-language2-bit
README.md说明 / 使用方法

language:

  • en
  • zh license: other license_name: qwen-community-1.0 license_link: https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE base_model: orcarouter/Qwen3.8-Flash-Next-Uncensored tags:
  • qwen3.8
  • qwen4_exp
  • auto-round
  • signroundv2
  • mixed-precision
  • agentic-coding
  • mtp
  • vision-language

Qwen3.8-Flash-Next-Uncensored AutoRound ~3 bpw

This is a coding-calibrated mixed-bit quantization of the pinned OrcaRouter BF16 source revision 8336e613ea508b13c2159bd0f68965d97a606b95. It retains the original vision tower, native BF16 MTP head, tokenizer, chat template, and BF16 PLE table. ~3 bpw applies to the routed experts, not the entire checkpoint; the PLE table alone is approximately 102.4 GB.

Quantization

Intel AutoRound SignRoundV2 tuned all 48 backbone MoE blocks using 64 repository-distinct coding/tool windows of 2,048 tokens and 50 iterations. Blocks 0–11 and 36–47 use W3A16G128; blocks 12–35 use W2A16G64. Dense attention and DeltaNet projections use W8A16G128; routers, shared experts, hyperconnections, vision, MTP, and PLE remain BF16. The calibration source is NVIDIA Open-SWE-Traces at f8fb5b3d2c787f85f8a00f5fe04fe3f1a11088ef (CC BY 4.0). See RECIPE.md and recipe.json for reproducibility details.

Validation

  • Audit: 35 indexed weight shards, 223,082 tensors, 156,770,420,728 tensor bytes; all 31 native BF16 MTP tensors were bit-identical to the source.
  • Patched-vLLM generation and native MTP speculative decoding were tested. A 131,072-token, one-token generation smoke test peaked at 64,927 MiB (~63.4 GiB) GPU memory on an RTX PRO 6000 Blackwell with a 0.61 utilization cap.
  • Paired held-out coding-trace BF16→quantized fidelity, one window and 128 scored positions per length: 8K context KL 0.03718 nats, top-1 agreement 96.09%; 32K context KL 0.13202 nats, top-1 agreement 92.19%.
  • Four-task mini-SWE-agent/SWE-bench Verified check: 4/4 resolved by the official grader. Testing used thinking mode with temperature 1.0, top-p 0.95, top-k 20, min-p 0, presence penalty 0, and repetition penalty 1. The per-turn max_tokens limit was 8,192; observed completions stayed below it. All task repositories were absent from the calibration shard.

Serving

Use the pinned patched vLLM runtime and guide, including its PLE SSD-offload and mixed-bit patch against vLLM a5a30471ff2bb7f0824f2da10e358af98d304472. Set QWEN_MODEL_DIR to this checkpoint and follow the guide's build steps; do not download the previous checkpoint. The PLE table stays on SSD. For the native BF16 MTP draft on the tested Blackwell host, use Triton MoE backend. Qwen's recommended thinking-mode sampling was used for the agent validation.

This derivative retains the Qwen Community License 1.0 notice.

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来源与版本

作者
klee100
最近更新
2026/09/23
最新创建
2026/09/23
HF 趋势
未知
数据快照
2026/09/23
版本
未知
许可证
other