공개 기록 · 2026-09-01 기준 · 17df23f

공개 기록.

클러스터가 하는 모든 일은 알기 쉬운 공개 기록에 기재됩니다. 어떤 모델인지, 컴퓨팅 자원을 얼마나 썼는지, 어떤 범주의 테스트인지. 누구나 읽고 클러스터가 역량 연구가 아니라 안전 연구를 했음을 확인할 수 있는 감사 추적입니다.

독립 평가 커버리지

지난 1년간 공개된 Hugging Face 좋아요 1,000개 이상의 모든 오픈 웨이트 모델에 대해, 독립적인 주체가 위험 역량 평가를 발표한 적이 있는가? 대상 집합은 개발사가 누구인지와 무관하게 기계적으로 정해집니다.

각 행을 어떻게 등급화하며, 행은 어떻게 상향되는가
nothing found
발견된 자료 없음공개된 안전 평가를 찾지 못함
model card only
모델 카드만 존재자체 보고한 안전 주장만 있고 위험 역량 방법론은 없음
developer evaluation
개발사 평가개발사가 직접 수행한 위험 역량 평가를 공개함
independent evaluation
독립 평가제3자가 독립적으로 수행한 위험 역량 평가, 방법론 공개
not yet reviewed
아직 검토하지 않음아직 분류하지 않음. 「발견된 자료 없음」과 구분하여 표시함.

출처가 나타나면 행이 상향됩니다. 안전 주장이 담긴 모델 카드가 있으면 「발견된 자료 없음」에서 「모델 카드만 존재」로, 개발사가 스스로 공개한 위험 역량 자료가 있으면 「개발사 평가」로, 방법론이 공개된 독립 평가가 발표되면 「독립 평가」로 옮겨집니다. 모든 단계에는 URL이 필요하며, 누구나 [email protected]로 보내 주십시오.

커버리지

각 출시에 대해 누가 안전 평가를 발표했는가

표에는 39건의 출시가 있습니다. 19건은 검토를 마쳤고 20건은 아직 검토하지 않았습니다. 검토를 마친 출시 가운데 6건이 독립 평가를 갖추고 있으며, 12개 행은 두 차례 확인했습니다. 각 행의 모든 판정에는 출처 링크가 붙어 있습니다. 여기의 날짜는 공식 출시일이며, 위의 타임라인은 저장소 생성일을 사용하므로 며칠 차이가 날 수 있습니다.

42 open-weight model families with 1,000 or more Hugging Face likes were released in the last year. 18 of them are reviewed below, 4 were reviewed and judged task-specific rather than frontier-capable, and 20 are queued. The table holds 39 releases: 19 reviewed, 20 queued. Of the reviewed, 6 have an independent safety evaluation and 13 have only the developer's model card.

6 independent evaluation published13 model card only20 not yet reviewed
ModelDeveloperReleasedEvaluation foundOur reviewSources
Qwen3.8-Flash-NextAlibaba2026-08-26model card onlymodel card onlychecked once[1][2]
GLM-5.3-FlashZ.ai (Zhipu AI)2026-08-26model card onlymodel card onlychecked once[1][2]
GLM-5.3Z.ai (Zhipu AI)2026-08-25not yet reviewednot yet reviewednot yet reviewedqueued
Qwen3.8-27BAlibaba2026-08-05model card onlymodel card onlychecked twice[1][2]
GLM-5.2Z.ai (Zhipu AI)2026-06-16independent evaluationindependent evaluationchecked twice[1][2][3][4][5][6][7]
Kimi-K3Moonshot2026-06-13independent evaluationindependent evaluationchecked twice[1][2][3][4][5][6]
Kimi-K2.7-CodeMoonshot AI2026-06-11not yet reviewednot yet reviewednot yet reviewedqueued
diffusiongemmaGoogle (Gemma)2026-06-09not yet reviewednot yet reviewednot yet reviewedqueued
MiniMax-M3MiniMax2026-06-02model card onlymodel card onlyin review[1][2][3][4]
Gemma 4 12BGoogle DeepMind2026-05-23model card onlymodel card onlychecked twice[1][2][3][4]
MiniCPM5OpenBMB2026-05-21not yet reviewednot yet reviewednot yet reviewedqueued
LanceByteDance Research2026-05-15not yet reviewednot yet reviewednot yet reviewedqueued
DeepSeek-V4-ProDeepSeek2026-04-24independent evaluationindependent evaluationchecked twice[1][2][3][4][5][6]
DeepSeek-V4-FlashDeepSeek2026-04-24model card onlymodel card onlychecked twice[1][2][3]
Kimi K2.6Moonshot2026-04-20model card onlymodel card onlychecked once[1][2]
Qwen3.6Alibaba2026-04-15independent evaluationindependent evaluationchecked twice[1][2][3][4][5]
MiniCPM-V-4.6OpenBMB2026-04-13not yet reviewednot yet reviewednot yet reviewedqueued
MiniMax-M2.7MiniMax2026-04-09not yet reviewednot yet reviewednot yet reviewedqueued
GLM-5.1Z.ai (Zhipu AI)2026-04-07model card onlymodel card onlychecked once[1][2]
Gemma 4 26B A4BGoogle DeepMind2026-04-02model card onlymodel card onlychecked twice[1][2][3][4]
Gemma 4 31B ITGoogle DeepMind2026-04-02model card onlymodel card onlychecked twice[1][2][3][4]
Qianfan-OCRBaidu ERNIE2026-03-18not yet reviewednot yet reviewednot yet reviewedqueued
Qwen3.5-122B-A10BAlibaba2026-02-24independent evaluationindependent evaluationchecked twice[1][2][3]
MiniMax-M2.5MiniMax2026-02-12model card onlymodel card onlychecked once[1][2]
GLM-5Z.ai (Zhipu AI)2026-02-11model card onlymodel card onlychecked twice[1][2][3]
Nanbeige4.1Nanbeige Lab2026-02-10not yet reviewednot yet reviewednot yet reviewedqueued
MiniCPM-o-4_5OpenBMB2026-02-03not yet reviewednot yet reviewednot yet reviewedqueued
Qwen3-Coder-NextQwen2026-01-30not yet reviewednot yet reviewednot yet reviewedqueued
Kimi-K2.5Moonshot2026-01-27independent evaluationindependent evaluationchecked twice[1][2][3][4]
DeepSeek-OCR-2DeepSeek2026-01-27not yet reviewednot yet reviewednot yet reviewedqueued
GLM-4.7-FlashZ.ai (Zhipu AI)2026-01-19not yet reviewednot yet reviewednot yet reviewedqueued
GLM-4.7Z.ai (Zhipu AI)2025-12-22model card onlymodel card onlychecked once[1][2][3]
MiniMax-M2.1MiniMax2025-12-20not yet reviewednot yet reviewednot yet reviewedqueued
PaddleOCR-VLPaddlePaddle2025-10-16not yet reviewednot yet reviewednot yet reviewedqueued
functiongemmaGoogle (Gemma)2025-10-08not yet reviewednot yet reviewednot yet reviewedqueued
DeepSeek-V3.2DeepSeek2025-09-29not yet reviewednot yet reviewednot yet reviewedqueued
GLM-4.6Z.ai (Zhipu AI)2025-09-29not yet reviewednot yet reviewednot yet reviewedqueued
Qwen3-VLQwen2025-09-22not yet reviewednot yet reviewednot yet reviewedqueued
Qwen3-NextQwen2025-09-09not yet reviewednot yet reviewednot yet reviewedqueued

"Checked once" means one reviewer walked the sources; "checked twice" means a second reviewer opened every source; "in review" means the second reviewer changed a call and it awaits a third look. Rows are reviewed newest first. Queued rows come from launches.csv and enter coverage.csv when reviewed.

Fig. 1 · Pacific Compute Ledger · coverage.csv ↗ · as of 2026-09-01sourced

「출처를 찾지 못함」은 하나의 관찰일 뿐, 부재의 증명이 아닙니다. 이미 발표된 평가를 저희가 놓쳤다면 출처와 함께 [email protected]로 알려 주십시오.

출시 속도
출시 속도

월별·등급별 오픈 웨이트 출시

42개 연구 조직에서 나온 2024년 9월 이후의 오픈 웨이트 모델 계열입니다. Hugging Face 최고 좋아요 수에 따라 1,000개 이상, 500~999개, 250~499개의 세 구간으로 나눕니다. 모델 계열은 중복을 제거했으며, 양자화 버전과 파생 모델은 제외했습니다. 집계 수치는 추정치가 아니라 최솟값입니다. 최근 365일간 113건이 출시되었고 그중 42건이 좋아요 1,000개 이상입니다.

051015202024-09: 5 at 1,000+ likes, 3 at 500 to 999, 4 at 250 to 499Sep2024-10: 2 at 1,000+ likes, 2 at 500 to 999, 1 at 250 to 4992024-11: 2 at 1,000+ likes, 1 at 500 to 999, 0 at 250 to 4992024-12: 2 at 1,000+ likes, 1 at 500 to 999, 2 at 250 to 499Dec2025-01: 4 at 1,000+ likes, 4 at 500 to 999, 2 at 250 to 4992025-02: 1 at 1,000+ likes, 1 at 500 to 999, 0 at 250 to 4992025-03: 1 at 1,000+ likes, 0 at 500 to 999, 3 at 250 to 499Mar2025-04: 3 at 1,000+ likes, 3 at 500 to 999, 5 at 250 to 4992025-05: 4 at 1,000+ likes, 0 at 500 to 999, 0 at 250 to 4992025-06: 0 at 1,000+ likes, 3 at 500 to 999, 3 at 250 to 499Jun2025-07: 4 at 1,000+ likes, 1 at 500 to 999, 2 at 250 to 4992025-08: 3 at 1,000+ likes, 4 at 500 to 999, 3 at 250 to 4992025-09: 4 at 1,000+ likes, 3 at 500 to 999, 7 at 250 to 499Sep2025-10: 4 at 1,000+ likes, 3 at 500 to 999, 0 at 250 to 4992025-11: 0 at 1,000+ likes, 6 at 500 to 999, 0 at 250 to 4992025-12: 2 at 1,000+ likes, 3 at 500 to 999, 3 at 250 to 499Dec2026-01: 5 at 1,000+ likes, 3 at 500 to 999, 3 at 250 to 4992026-02: 5 at 1,000+ likes, 2 at 500 to 999, 2 at 250 to 4992026-03: 3 at 1,000+ likes, 1 at 500 to 999, 1 at 250 to 499Mar2026-04: 7 at 1,000+ likes, 5 at 500 to 999, 4 at 250 to 4992026-05: 2 at 1,000+ likes, 0 at 500 to 999, 3 at 250 to 4992026-06: 6 at 1,000+ likes, 5 at 500 to 999, 4 at 250 to 499Jun2026-07: 0 at 1,000+ likes, 2 at 500 to 999, 5 at 250 to 4992026-08: 4 at 1,000+ likes, 1 at 500 to 999, 5 at 250 to 4992026-09: 0 at 1,000+ likes, 0 at 500 to 999, 0 at 250 to 499Sep
좋아요 1,000개 이상500~999개250~499개
Fig. 2 · Hugging Face public API via Pacific Compute Ledger · launches.csv ↗ · as of 2026-09-01sourced

데이터는 2026-09-01 기준입니다. 공개 기록이 커밋될 때마다 갱신됩니다. 방법과 가정은 방법론 페이지(영문)를 참조하십시오.