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投机取巧 Speculative Speculation

MetaMeta　·　当前代current generation Muse GlimmerMuse Glimmer（2026-08）

MuseMuse模型家族谱系卡model family lineage card

Meta 在 Llama 之外的新开放权重线（meta-models org）。发布走门控：要先在 HF 登录同意才能下载，这是选型时的硬约束，卡上如实写。本站收录 Muse Glimmer 30B 的量化对比。Meta's newer open-weight line beside Llama (the meta-models org). Publication is gated: sign in and consent on HF before download — a hard constraint when choosing, stated plainly on the card. This site covers Muse Glimmer 30B quantisations.

本站已收录该家族的量化对比：This site covers this family's quantisations: Muse GlimmerMuse Glimmer

先说清楚：这个站的数据怎么来的First, where this site's data comes from

✅ 实测字段Measured fields

直接从 Hugging Face 公开 API 读取的客观数据：文件体积（字节）、上下文长度、架构、许可、下载量、更新时间。Objective data read straight from the Hugging Face public API: file sizes in bytes, context length, architecture, licence, downloads, last updated.

✅ 推导Derived

由实测字段按公开规则算出：每权重比特数（依 llama.cpp 命名标准）、档位归属、显存需求区间。推导规则在Computed from the measured fields by published rules: bits per weight (per the llama.cpp naming convention), tier assignment, VRAM requirement range. The rules are fully published in METHODOLOGY.md 完整公开，任何人可复算。 — anyone can recompute them.

❌ 我们不说的What we do not claim

哪个量化质量更高、哪个更快、哪个模型更强——这些需要实测，本站不跑 benchmark，所以不装作知道。凡我们给出的主观判断，一律显式标注「我们的口径」。Which quantisation is higher quality, which is faster, which model is stronger — these need measurement. This site does not run benchmarks, so it does not pretend to know. Every subjective judgement we do offer is explicitly marked as our own reading.

本站This site does 不下载、不托管任何模型权重文件not download or host any model weight files。所有数字都来自公开元数据，点击即可回到发布页核对。. Every figure comes from public metadata, and clicking it takes you back to the release page to verify. 采集时间Collected: 2026-10-30（数据快照，非实时） (a snapshot, not live)

中文生态China availability 国产 / 国内可直接用 / 备案状态 · 快照domestic / direct access / CAC filing · snapshot 2026-10-20

  • 出品属地Origin　国外出品foreign-made　出品方为 Meta。Made by Meta.
  • 国内下载Direct access　国内可直连direct OK　ModelScope 有 meta-models 官方组织镜像（2026-10-20 实测 200）；Hugging Face 直连不可达。ModelScope carries the official meta-models org mirror (measured 200); Hugging Face direct unreachable.　·　国内镜像入口domestic mirror
  • 备案状态CAC filing　未见于备案名单not in filing list：公示名单未检索到 Meta / Muse 相关条目（2026-10-20；同名命中均为无关国内主体）。No Meta / Muse entry found in the public registry (searched 2026-10-20; same-name hits are all unrelated domestic entities).

备案信息以网信办《生成式人工智能服务已备案信息》公示名单为准（按批次滚动更新，本站只抄编号不解读）；「国内可直连」是本站从大陆网络直连实测的结果，不是厂商承诺。Filing status is quoted from the CAC public registry (updated batch by batch; this site copies the number and does not interpret it). "Direct access" is this site's own reachability measurement from a mainland network, not a vendor promise.

代次Generations

  • Muse GlimmerMuse Glimmer2026-08当前代current

    当前代（本站收录的 30B 档）。官方 meta-models org 在 HF 上为门控发布（README 直抓 403，需登录同意条款）；本站数字（29.78B 总参、apache-2.0）来自 S51 采集时的模型页快照。Current generation (the 30B build this site covers). Meta's meta-models org publishes gated on HF (README fetch returned 403 without login consent); this site's figures (29.78B total, apache-2.0) come from the model-page snapshot taken during S51 collection.

    官方页面 ↗official page ↗

尺寸档Size tiers

  • 30B 密集（Glimmer 档）30B dense (Glimmer tier)

许可Licences

  • apache-2.0Apache-2.0（S51 采集时模型页快照口径；发布为门控，条款以官方页为准）Apache-2.0 per the model-page snapshot taken at S51; publication is gated — the official page is authoritative for terms 许可原文 ↗licence text ↗

官方能力声明（带出处）Official capability claims (with sources)

  • 官方 org 为门控发布，本站未能直抓 README 全文（2026-10-20 实测 403）——能力声明不转述，只保留采集时快照的规格与许可。The official org publishes gated; this site could not fetch the README directly (403 measured 2026-10-20) — capability claims are not transcribed, only the spec and licence from the collection-time snapshot are kept.出处 ↗source ↗

以上均为厂商官方页面原文或官方自评基准的转述；涉及横评结论的，本站不背书——本站不跑 benchmark。The above are quotations of official pages or transcriptions of vendor-run benchmarks; this site does not endorse cross-model conclusions — it runs no benchmarks.

出处Sources

核验快照：2026-10-30 · 本站不实测、不排名，未知就写未知。Verification snapshot: 2026-10-30 · no benchmarks, no rankings — unknown stays unknown.