AI NEWS.ccAIが動く、未来が変わる
♡ 保存済み 0
AIモデルライブラリ/Baekpica/GLM-5.3-Flash-VQ-GGUF
モデル情報

GLM-5.3-Flash-VQ-GGUF

Baekpica · GLM-5.3-Flash-VQ-GGUF

> [!WARNING] > **Experimental low-bit release.** The routed experts, which hold most of the > weights, are stored at 1.625 or 2.625 bits per weight depending on the layer > (about 2.1 on average), far below common 4-bit GGUF quants. You may see > failures the source model rarely shows: reasoning that loops or never > reaches an answer, text that breaks mid-character (shown as `�`) or switches > language mid-word, and weaker answers in general. This is exploratory > quantization research, not a drop-in replacement for the source model. > > **The files can change.** This line of conversions is still being researched > (as of 2026-10-21, weighted Lloyd fitting of the codebooks is being tested), > so any file here may be replaced by a new revision. Replacements so far: > three since the first release on 2026-10-15. The non-expert weights were > requantized (Q4_K v3, 2026-10-16), then the 8-bit residual stage that > protects sensitive routed layers was added to layers 3–16 and widened to 19 > layers (2026-10-18). The earlier files remain at the tags `vq-original`, > `q4k-v3` and `r13p8-l3-16`. To keep a fixed build, download a pinned commit: > `hf download Baekpica/GLM-5.3-Flash-VQ-GGUF --revision `. > > **Problems or odd output?** Feel free to post them in the > Community tab, > even as rough notes. The prompt, sampling settings and runtime commit help > most. > **Status, 2026-10-18:** the files are the 19-layer R13+8 revision: the > residual stage now covers routed layers 3–17, 22, 27, 41 and 44 (before: > 3–16). Loading needs a ds4-dfm-rs build with GVQ1 container v2 support > (`main` since PR #96, > merge `34c46d18`); the runtime binds the residual stage on any routed layer, > so no runtime change is needed. Speed and memory of this revision on DGX > Spark are not measured yet. Previous revisions are kept at the tags > `r13p8-l3-16` > (R13+8 on layers 3–16) and > `q4k-v3` > (all routed layers R13). Experimental custom GVQ1 / GGUF v3 conversion of the official Z.AI GLM-5.3-Flash (`91b69215804f2d2036a8867f6ce44848e278dcda`) for DGX Spark (GB10), run by ds4-dfm-rs. Standard llama.cpp/Ollama/Transformers loading is not claimed.

翻訳待ちのため原文を表示しています。

画像質問応答license:mit
コンテキスト長非公開
入力 → 出力テキスト、画像 → テキスト
モデルウェイト未確認
情報更新日時2026/10/31 04:51:43
OVERVIEW

モデル紹介

> [!WARNING] > **Experimental low-bit release.** The routed experts, which hold most of the > weights, are stored at 1.625 or 2.625 bits per weight depending on the layer > (about 2.1 on average), far below common 4-bit GGUF quants. You may see > failures the source model rarely shows: reasoning that loops or never > reaches an answer, text that breaks mid-character (shown as `�`) or switches > language mid-word, and weaker answers in general. This is exploratory > quantization research, not a drop-in replacement for the source model. > > **The files can change.** This line of conversions is still being researched > (as of 2026-10-21, weighted Lloyd fitting of the codebooks is being tested), > so any file here may be replaced by a new revision. Replacements so far: > three since the first release on 2026-10-15. The non-expert weights were > requantized (Q4_K v3, 2026-10-16), then the 8-bit residual stage that > protects sensitive routed layers was added to layers 3–16 and widened to 19 > layers (2026-10-18). The earlier files remain at the tags `vq-original`, > `q4k-v3` and `r13p8-l3-16`. To keep a fixed build, download a pinned commit: > `hf download Baekpica/GLM-5.3-Flash-VQ-GGUF --revision `. > > **Problems or odd output?** Feel free to post them in the > Community tab, > even as rough notes. The prompt, sampling settings and runtime commit help > most. > **Status, 2026-10-18:** the files are the 19-layer R13+8 revision: the > residual stage now covers routed layers 3–17, 22, 27, 41 and 44 (before: > 3–16). Loading needs a ds4-dfm-rs build with GVQ1 container v2 support > (`main` since PR #96, > merge `34c46d18`); the runtime binds the residual stage on any routed layer, > so no runtime change is needed. Speed and memory of this revision on DGX > Spark are not measured yet. Previous revisions are kept at the tags > `r13p8-l3-16` > (R13+8 on layers 3–16) and > `q4k-v3` > (all routed layers R13). Experimental custom GVQ1 / GGUF v3 conversion of the official Z.AI GLM-5.3-Flash (`91b69215804f2d2036a8867f6ce44848e278dcda`) for DGX Spark (GB10), run by ds4-dfm-rs. Standard llama.cpp/Ollama/Transformers loading is not claimed.

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

PRICING & COST

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

出典・チャネル入力出力課金単位収集日時
確認可能な料金がありません。出典を確認してください。

月額の基本トークン費用を試算

—

試算はキャッシュ割引、段階料金、マルチモーダル追加料金、検索、税金、追加推論出力を含みません。

INDEPENDENT BENCHMARKS

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

収録済みの全ランキング →

よくある質問

オープンウェイトなら無料で商用利用できますか？

必ずしもそうではありません。バージョン別のライセンス、商用条件、利用方針を確認してください。自前運用には計算資源と保守費用も必要です。

これはリアルタイムの請求料金ですか？

収集日時付きの料金スナップショットです。最新のバージョン、地域、割引、課金方式は各チャネルで確認してください。

出典と追跡記録

huggingface · Baekpica/GLM-5.3-Flash-VQ-GGUF ↗2026/10/30 08:42:17
huggingface · enrich:282bdda1-6083-478c-a4b5-4aa79792c288 ↗2026/10/31 04:51:43

许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。