HPCWIKI - Recent changes [en]

Manual:Hmcluster

Clara — Wed, 09 Sep 2026 11:39:03 GMT

Create Manual:hmcluster user manual (no secrets, no internal IPs)

Private:Hmcluster

Clara — Tue, 08 Sep 2026 03:22:05 GMT

Last update → 2026-09-08 (rootfs backup/restore)

Top 10 오픈소스 AI 모델 동향

Clara — Mon, 07 Sep 2026 06:11:55 GMT

정기 재조사 2026-09-07: Open LLM Leaderboard(동결 2025-03-20)/LiveCodeBench(윈도우 2024-08~2025-05) 모델·점수 변동 없음 — 조사일시/다음 업데이트/last_update/데이터 신선도만 갱신

← Older revision		Revision as of 15:11, 7 September 2026
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	\|status=Draft		\|status=Draft
	\|owner=Knowledge Agent		\|owner=Knowledge Agent
	\|last_update=2026-08-31		\|last_update=2026-09-07
	\|review=Pending		\|review=Pending
	}}		}}
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	== Overview ==		== Overview ==

	HuggingFace Open LLM Leaderboard와 LiveCodeBench 기준의 2026년 8월 기준 Top 10 오픈소스 AI 모델 현황. General, Coding, Edge Devices 세 가지 카테고리로 분류하여 최신 벤치마크 성능을 비교 분석.		HuggingFace Open LLM Leaderboard와 LiveCodeBench 기준의 2026년 9월 기준 Top 10 오픈소스 AI 모델 현황. General, Coding, Edge Devices 세 가지 카테고리로 분류하여 최신 벤치마크 성능을 비교 분석.

	=== Summary ===		=== Summary ===
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	=== 조사 정보 ===		=== 조사 정보 ===

	* 조사 일자: 2026-08-~~31 09~~:45 KST		* 조사 일자: 2026-09-07 14:46 KST
	* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)		* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)
	* 다음 업데이트 예정: 2026-09-07		* 다음 업데이트 예정: 2026-09-14


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	* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재		* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재
	* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)		* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)
	* 데이터 신선도: 2026-08-31 재확인 — General/Edge ~~Devices~~ 데이터 동일, ~~Coding(~~LiveCodeBench) ~~최신화~~		* 데이터 신선도: 2026-09-07 재확인 — General/Coding/Edge 데이터 모두 동일 (Open LLM Leaderboard 동결: 2025-03-20, LiveCodeBench 윈도우 2024-08~2025-05)

Private:Hmcluster

Clara — Mon, 07 Sep 2026 05:12:27 GMT

sync NFS exports: single SoT (nfs-exports.sh), MGMT-only, no catch-all, sub-path, zero-downtime (2026-09-07)

U4008

Admin — Fri, 04 Sep 2026 02:16:43 GMT

← Older revision		Revision as of 11:16, 4 September 2026
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	== Overview ==		== Overview ==

	~~U4008에 대한 기술 문서입니다~~.		U4008은 HPCMATE 가 독자개발한 다양한 기능을 내포할 수 있는 시스템 입니다.

	~~=== Summary ===~~

	* 무엇인가? - U4008
	* 왜 필요한가? - HPC 및 서버 환경에서 필수 개념
	* 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시


	~~== Purpose ==~~

	~~이 문서가 존재하는 이유~~

	* Goal: U4008에 대한 기술 정보 제공
	* Scope: U4008의 개념, 사용법, 설정
	* Non-goals: 다른 주제로의 확장


	== Key Concepts ==		== Key Concepts ==
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	\| [[Linux]], [[Server]]		\| [[Linux]], [[Server]]
	\|}		\|}


	== Detailed Explanation ==		== Detailed Explanation ==
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	\|Configurable up to 5600W		\|Configurable up to 5600W
	\|Dual 2200W '''Titanium''' CRPS		\|Dual 2200W '''Titanium''' CRPS
	Automatic switching between 1+1 and 2+0		Automatic switching between 1+1 and 2+0 based on [[workload]]
	\|-		\|-
	\|Storage		\|Storage
	\|3 x 5.15" dummy cage		\|3 x 5.15" dummy cage
	\|Any type of 5.25" hard rack		\|Any type of 5.25" hard rack
	\|Depending on models		\|[[Category:Server]]
			Depending on models
			[[Category:Reference]]
			\|-
			\|Dimension
			\| colspan="3" \|4U rack mount server, (441mm x 177mm x 866mm)
			\|-
			\|Cooling
			\|Air Cooling
			Cooling 4 x middle / 2 x rear fan (Max. 4,500 RPM/168.2CFM/54.5dbA), 1 x rear fan (Max. 4800 RPM/60.8 CFM/44.5dbA) / up to 500W active CPU cooler (Adjustable noise / cooling ratio)
			\|
			\|Optional Liquid Cooling with [[CoolUX]]
			\|-
			\|Front I/O
			\| colspan="3" \|Button(1 x Power, 1 x Reset), LED(1 x Power, 1 x HDD Activity, 2 x [[Network]] Activity)
			\|-
			\|SKU
			\| colspan="2" \|HM-U4008-2kHR0
			\|Configuration
			\|-
			\|
			\|CPU
			\|Single Intel® Xeon® 6700E-series, 6500P-series and 6700P-series processor, TDP up to 350W
			\|Intel 6774P (64C/128T,2.5~3.9, 336 cache, 350W TDP) x 1EA
			\|-
			\|
			\|Memory
			\|8 x DDR5 DIMM Slots, 8 channels(1DPC), RDIMM/RIMM-3DS/MCRDIMM (RDIMM: 6400MT/s, MCRDIMM: 8000MT/s)
			\|64G DDR5 5600MHz ECC/RDIM x 2EA
			\|-
			\|
			\|Storage
			\|4 x U.2/U.3 hot-swap front drive (Optional configuration +8 x U.2/U.3 or +8 x NVMe or +8 x SATA SSD **)
			\| - OS -PM9A3 U.2 NVMe 960GB x 1EA
			- Data - PM9A3 U.2 2.5" SSD 7.68TB x 1EA
			\|-
			\|
			\|I/O
			\|<nowiki>- 2 x 2280/22110 PCIe 5.0 x2 NVMe M.2 ports, 3 x SlimlineSAS 4i for 12 SATA3.0 drives (NVMe RAID 0/1/5/10 support)</nowiki>

			- 4 x [[PCIe]] 5.0 x16 slots (one slot only functional with R1S CPU), 6 x PCIe 5.0 x8 MCIO

	~~== Best Practices ==~~		- 2x USB 3.2 Type A, 1x DB9, 1 COM port, UID LED button
			\|
	* 최신 버전 사용 권장		\|-
	* 공식 문서 참고		\|
	* 테스트 환경에서 먼저 검증		\|PCIe
			\|10 x Full-Height/Full-Length expansion slots, 7 x PCIe 5.0 x16 (supports 4 x CXL2.0* x16), 1 x PCIe5.0 x8
			\|
	~~== References ==~~		\|-
			\|
	* [https:/~~/wiki~~.~~hpcmate~~.~~com U4008]~~		\|GPU
			\|Default [[support]] 4 x double width 600W GPUs ( Optional configuration +1 x double width 600W GPU** )
			\|RTX PRO Blackwell 5000 D7 48GB x 1EA
	~~== Related Pages ==~~		\|-
			\|
	* [[~~Linux~~]]		\|Network
	* ~~[[Server]]~~		\|2 x 1000 Mbps RJ45, 1 x 1000 Mbps RJ45 Dedicated [[IPMI]] LAN
	* [[Hardware]]		\|
	* [[Network]]		\|-
			\|
			\|VGA
	[[~~Category:Server~~]]		\|VGA 1 x D-Sub(AST2600 )
	~~== Knowledge Graph ==~~		\|
			\|-
	~~Related~~		\|
			\|
	~~→ [[Server]]~~		\|
	~~→ [[Hardware]]~~		\|
	~~→ [[AMD EPYC]]~~		\|}
	~~→ [[NVIDIA GPU]]~~
	~~→ [[Liquid Cooling]]~~

	~~[[Category:Reference]]~~

Private:Hmcluster

Clara — Tue, 01 Sep 2026 11:06:34 GMT

sync: 3-tier network model (MGMT/DATA/IPMI) naming + config keys + WebUI network topology view (2026-09-01, commit 9fe4019)

Top 10 오픈소스 AI 모델 동향

Clara — Mon, 31 Aug 2026 00:46:22 GMT

정기 업데이트 (2026-08-31): 데이터 무변경 확인 (General/Edge/Coding 3개 카테고리 Top 10 1:1 매칭 확인) → 조사일시·last_update·다음 업데이트·신선도 날짜만 갱신

← Older revision		Revision as of 09:46, 31 August 2026
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	\|status=Draft		\|status=Draft
	\|owner=Knowledge Agent		\|owner=Knowledge Agent
	\|last_update=2026-08-28		\|last_update=2026-08-31
	\|review=Pending		\|review=Pending
	}}		}}
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	=== 조사 정보 ===		=== 조사 정보 ===

	* 조사 일자: 2026-08-~~28 17~~:47 KST		* 조사 일자: 2026-08-31 09:45 KST
	* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)		* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)
	* 다음 업데이트 예정: 2026-09-04		* 다음 업데이트 예정: 2026-09-07


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	* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재		* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재
	* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)		* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)
	* 데이터 신선도: 2026-08-28 재확인 — General/Edge Devices 데이터 동일, Coding(LiveCodeBench) 최신화		* 데이터 신선도: 2026-08-31 재확인 — General/Edge Devices 데이터 동일, Coding(LiveCodeBench) 최신화

Private:Hmcluster

Clara — Sun, 30 Aug 2026 04:00:21 GMT

License reason codes + issuance workflow + manage tab horizontal + last-update 2026-08-30

Top 10 오픈소스 AI 모델 동향

Clara — Fri, 28 Aug 2026 09:35:08 GMT

주 1회 정기 업데이트 (2026-08-28): General/Edge Devices 동일, Coding(LiveCodeBench) 최신 Top 10 반영, 조사일시/last_update 갱신

← Older revision		Revision as of 18:35, 28 August 2026
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	\|status=Draft		\|status=Draft
	\|owner=Knowledge Agent		\|owner=Knowledge Agent
	\|last_update=2026-08-24		\|last_update=2026-08-28
	\|review=Pending		\|review=Pending
	}}		}}
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	=== 조사 정보 ===		=== 조사 정보 ===

	* 조사 일자: 2026-08-~~24 09~~:03 KST		* 조사 일자: 2026-08-28 17:47 KST
	* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)		* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)
	* 다음 업데이트 예정: 2026-08-31		* 다음 업데이트 예정: 2026-09-04


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	== Coding 카테고리: LiveCodeBench Pass@1 ==		== Coding 카테고리: LiveCodeBench Pass@1 ==

	LiveCodeBench Code Generation ~~카테고리 Pass@1~~ 기준 Top 10 모델.		LiveCodeBench Code Generation 리더보드 기준 Top 10 모델 (평가 기간 2024-08-01 ~ 2025-05-01 기준, 최신 릴리스 모델). Pass@1과 Easy, Medium, Hard 난이도별 점수 포함.

	{{! class="wikitable"		{{! class="wikitable"
	! Rank ! Model ! [Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Easy-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Medium-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Hard-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench)		! Rank ! Model ! [Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Easy-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Medium-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Hard-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench)
	\|-		\|-
	\| 1 \| ~~GPT~~-4O-~~2024-05-13~~ \| 45.6 \| 88.3 \| 33.2 \| 4.2		\| 1 \| [https://platform.openai.com/docs/api-reference/chat/create O4-Mini (High)] \| 80.2 \| 99.1 \| 89.4 \| 63.5
	\|-		\|-
	\| 2 \| ~~GPT-4-Turbo-2024-04~~-09 \| 44.7 \| 85.3 \| 33.0 \| 5.1		\| 2 \| [https://platform.openai.com/docs/api-reference/chat/create O3 (High)] \| 75.8 \| 99.1 \| 84.4 \| 57.1
	\|-		\|-
	\| 3 \| ~~GPT-4~~-~~Turbo~~-~~1106~~ \| 39.7 \| 84.4 \| 24.0 \| 0.5		\| 3 \| [https://platform.openai.com/docs/api-reference/chat/create O4-Mini (Medium)] \| 74.2 \| 98.2 \| 86.5 \| 52.7
	\|-		\|-
	\| 4 \| ~~GPT~~-4-~~0613~~ \| 36.9 \| 78.4 \| 21.2 \| 2.3		\| 4 \| [https://ai.google.dev/gemini-api/docs/models/gemini Gemini-2.5-Pro-06-05] \| 73.6 \| 99.1 \| 87.2 \| 50.2
	\|-		\|-
	\| 5 \| ~~Gemini~~-~~Pro~~-~~1.5~~-~~May~~ \| 35.7 \| 76.0 \| 19.4 \| 3.5		\| 5 \| [https://huggingface.co/deepseek-ai/DeepSeek-R1-0528 DeepSeek-R1-0528] \| 73.1 \| 98.7 \| 85.2 \| 50.7
	\|-		\|-
	\| 6 \| ~~Claude~~-3-~~Opus~~ \| 35.4 \| 78.8 \| 16.3 \| 3.2		\| 6 \| [https://ai.google.dev/gemini-api/docs/models/gemini Gemini-2.5-Pro-05-06] \| 71.8 \| 98.2 \| 82.3 \| 50.2
	\|-		\|-
	\| 7 \| ~~Codestral~~-~~Latest~~ \| 32.2 \| 69.0 \| 18.7 \| 0.9		\| 7 \| [https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B EXAONE-4.0-32B] \| 70.0 \| 98.4 \| 82.3 \| 46.2
	\|-		\|-
	\| 8 \| ~~Gemini~~-~~Flash~~-~~1.5~~-~~May~~ \| 30.0 \| 68.1 \| 12.6 \| 2.7		\| 8 \| [https://huggingface.co/nvidia/OpenReasoning-Nemotron-32B OpenReasoning-Nemotron-32B] \| 69.8 \| 98.3 \| 81.4 \| 46.3
	\|-		\|-
	\| 9 \| ~~LLama3~~-~~70b~~-~~Ins~~ \| 28.3 \| 60.7 \| 15.8 \| 1.4		\| 9 \| [https://platform.openai.com/docs/api-reference/chat/create O3-Mini-2025-01-31 (High)] \| 67.4 \| 99.1 \| 84.4 \| 38.4
	\|-		\|-
	\| 10 \| ~~Claude~~-3-~~Sonnet~~ \| 26.9 \| 67.6 \| ~~6.3 \| 1~~.1		\| 10 \| [https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-1.1-32B OpenCodeReasoning-Nemotron-1.1-32B] \| 66.8 \| 97.9 \| 79.6 \| 41.1
	}}		}}

	=== Coding 카테고리 분석 ===		=== Coding 카테고리 분석 ===

	* 상용 모델 독점: Top ~~10 모두~~ 상용 모델 ~~(GPT, Gemini, Claude)~~		* 상용 추론 모델 주도: Top 6이 OpenAI O4-Mini/O3 계열과 Google Gemini 2.5 Pro 등 상용 추론 모델
	* ~~GPT~~-4 계열 ~~강세:~~ Top ~~4 중 3개 차지~~		* 오픈소스 모델 부상: DeepSeek-R1-0528(5위), EXAONE-4.0-32B(7위), Nemotron 계열(8위, 10위)이 Top 10에 진입
	* ~~오픈소스 모델 부재~~: ~~Top 10에 오픈소스 모델 없음~~		* Pass@1 최고점: O4-Mini (High)이 80.2로 종합 1위
	* ~~LLama3-70b~~: ~~70b 파라미터로 9위 기록~~ (~~28.3~~ Pass@1)		* 경량 추론 모델 경쟁: 32B급 오픈소스(EXAONE, Nemotron)가 66~70 Pass@1로 상용 모델과 격차 축소


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	\| General \| calme-3.2-instruct-78b \| 52.08 \| 78B 파라미터 기준 최고 성능		\| General \| calme-3.2-instruct-78b \| 52.08 \| 78B 파라미터 기준 최고 성능
	\|-		\|-
	\| Coding \| ~~GPT~~-~~4O-2024-05-13~~ \| 45.6 Pass@1 \| 상용 모델 독점		\| Coding \| O4-Mini (High) \| 80.2 Pass@1 \| 상용 추론 모델 1위, 오픈소스(DeepSeek/EXAONE/Nemotron) 부상
	\|-		\|-
	\| Edge Devices \| T3Q-Qwen2.5-14B \| 47.09 \| 7B 이하 중 최고 (계산 오류 가능성)		\| Edge Devices \| T3Q-Qwen2.5-14B \| 47.09 \| 7B 이하 중 최고 (계산 오류 가능성)
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	* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재		* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재
	* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)		* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)
	* 데이터 신선도: 2026-08-24 재확인 — ~~소스 리더보드~~(~~OLL/LBC~~) ~~데이터 변동 없음~~		* 데이터 신선도: 2026-08-28 재확인 — General/Edge Devices 데이터 동일, Coding(LiveCodeBench) 최신화


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	* [Qwen/Qwen2.5-72B-Instruct Hub](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)		* [Qwen/Qwen2.5-72B-Instruct Hub](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)
	* [JungZoona/T3Q-Qwen2.5-14B Hub](https://huggingface.co/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3)		* [JungZoona/T3Q-Qwen2.5-14B Hub](https://huggingface.co/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3)
			* [DeepSeek-R1-0528 Hub](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528)
			* [LGAI-EXAONE/EXAONE-4.0-32B Hub](https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B)
			* [nvidia/OpenReasoning-Nemotron-32B Hub](https://huggingface.co/nvidia/OpenReasoning-Nemotron-32B)
			* [nvidia/OpenCodeReasoning-Nemotron-1.1-32B Hub](https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-1.1-32B)
			* [LiveCodeBench 공식 리더보드](https://livecodebench.github.io/leaderboard.html)

Private:Hmcluster

Clara — Fri, 28 Aug 2026 04:57:21 GMT

WebUI: add compute Logs tab (Manage>System>Logs) + /api/compute-logs, 8 subtabs

Slurm Support

Admin — Tue, 25 Aug 2026 04:05:58 GMT

Admin deleted page Slurm Support content was: "{{Status |status=Draft |owner=Knowledge Agent |last_update=2026-07-16 |review=Pending }} {{TOC}} == Overview == Slurm Support에 대한 기술 문서입니다. === Summary === * 무엇인가? - Slurm Support * 왜 필요한가? - HPC 및 서버 환경에서 필수 개념 * 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시 == Purpose == 이 문서가 존재하는 이유 * Goal: Slurm Support에 대한 기술 정보 제공 * Scope: Slurm Support..."

Private:Cluster Configuration

Admin — Tue, 25 Aug 2026 04:05:08 GMT

Admin deleted page Private:Cluster Configuration content was: " == The purpose == Cluster Configuration used to setup cluster master and slave including worker - Install and configure cluster master and slave with predefined configuration - Install and configure cluster network storage that used by cluster == Openclaw Agents == - Cluster_manager - Cluster_worker - Cluster_validator == References ==", and the only contributor was "Admin" (talk)

Private:Hmcluster

Clara — Tue, 25 Aug 2026 04:04:03 GMT

Align with existing Private: conventions (drop {{Status}}/{{TOC}} templates)

Private:Hmcluster

Clara — Tue, 25 Aug 2026 03:59:08 GMT

Initial internal architecture reference (dev 2026-08-25)

HPC System Setting

Admin — Tue, 25 Aug 2026 03:58:56 GMT

Admin deleted page HPC System Setting content was: "{{Status |status=Draft |owner=Knowledge Agent |last_update=2026-07-16 |review=Pending }} {{TOC}} == Overview == HPC System Setting에 대한 기술 문서입니다. === Summary === * 무엇인가? - HPC System Setting * 왜 필요한가? - HPC 및 서버 환경에서 필수 개념 * 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시 == Purpose == 이 문서가 존재하는 이유 * Goal: HPC System Setting에 대한 기술 정보 제공 * Scope:..."

Test auth

Clara — Tue, 25 Aug 2026 03:53:43 GMT

clean up auth test page

← Older revision		Revision as of 12:53, 25 August 2026
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	~~auth~~ [[~~test~~]]		#REDIRECT [[대문]]

Test auth

Clara — Tue, 25 Aug 2026 03:45:19 GMT

Created page with "auth test"

New page

auth [[test]]

Top 10 오픈소스 AI 모델 동향

Clara — Mon, 24 Aug 2026 00:06:49 GMT

정기 업데이트 (2026-08-24): 조사일시/last_update/다음업데이트일 갱신. OLL/LBC 소스 데이터 변동 없음 (동결 확인).

← Older revision		Revision as of 09:06, 24 August 2026
(2 intermediate revisions by the same user not shown)
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	\|status=Draft		\|status=Draft
	\|owner=Knowledge Agent		\|owner=Knowledge Agent
	\|last_update=2026-08-17		\|last_update=2026-08-24
	\|review=Pending		\|review=Pending
	}}		}}
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	=== 조사 정보 ===		=== 조사 정보 ===

	* 조사 일자: 2026-08-~~17 10~~:00 KST		* 조사 일자: 2026-08-24 09:03 KST
	* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)		* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)
	* 다음 업데이트 예정: 2026-08-24		* 다음 업데이트 예정: 2026-08-31

	~~---~~

	== Purpose ==		== Purpose ==
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	* Non-goals: 상용 모델 비교, 자체 벤치마크 수행		* Non-goals: 상용 모델 비교, 자체 벤치마크 수행

	~~---~~

	== Key Concepts ==		== Key Concepts ==
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	! Concept ! Description ! Related		! Concept ! Description ! Related
	\|-		\|-
	\| [[HuggingFace Open LLM Leaderboard]] \| 오픈소스 LLM 종합 성능 벤치마크 \| [[IFEval]], [[BBH]], [[MMLU-PRO]]		\| [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) \| 오픈소스 LLM 종합 성능 벤치마크 \| [IFEval](https://github.com/google-research/google-research/tree/master/instruction_following_eval), [BBH](https://github.com/suzgunmirac/BIG-Bench-Hard), [MMLU-PRO](https://github.com/hendrycks/test)
	\|-		\|-
	\| [[LiveCodeBench]] \| 코딩 능력 평가 벤치마크 \| [[Pass@1]]		\| [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard) \| 코딩 능력 평가 벤치마크 \| [Pass@1](https://github.com/LiveCodeBench/LiveCodeBench)
	\|-		\|-
	\| [[IFEval]] \| 지시 따르기 평가 \| [GitHub](https://github.com/google-research/google-research/tree/master/instruction_following_eval)		\| [IFEval](https://github.com/google-research/google-research/tree/master/instruction_following_eval) \| 지시 따르기 평가 \| [GitHub](https://github.com/google-research/google-research/tree/master/instruction_following_eval)
	\|-		\|-
	\| [[BBH]] \| BIG-Bench Hard 벤치마크 \| [GitHub](https://github.com/suzgunmirac/BIG-Bench-Hard)		\| [BBH](https://github.com/suzgunmirac/BIG-Bench-Hard) \| BIG-Bench Hard 벤치마크 \| [GitHub](https://github.com/suzgunmirac/BIG-Bench-Hard)
	\|-		\|-
	\| [[MMLU-PRO]] \| 다중 선택 지식 평가 \| [GitHub](https://github.com/hendrycks/test)		\| [MMLU-PRO](https://github.com/hendrycks/test) \| 다중 선택 지식 평가 \| [GitHub](https://github.com/hendrycks/test)
	\|-		\|-
	\| [[MATH]] \| 수학 문제 해결 평가 \| [GitHub](https://github.com/hendrycks/math)		\| [MATH](https://github.com/hendrycks/math) \| 수학 문제 해결 평가 \| [GitHub](https://github.com/hendrycks/math)
	\|-		\|-
	\| [[GPQA]] \| 과학 문제 평가 \| [GitHub](https://github.com/idavidrein/gpqa)		\| [GPQA](https://github.com/idavidrein/gpqa) \| 과학 문제 평가 \| [GitHub](https://github.com/idavidrein/gpqa)
	\|-		\|-
	\| [[Pass@1]] \| 코딩 정답률 지표 \| [GitHub](https://github.com/LiveCodeBench/LiveCodeBench)		\| [Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) \| 코딩 정답률 지표 \| [GitHub](https://github.com/LiveCodeBench/LiveCodeBench)
	}}		}}

	~~---~~

	== General 카테고리: HuggingFace Open LLM Leaderboard Overall Average ==		== General 카테고리: HuggingFace Open LLM Leaderboard Overall Average ==
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	{{! class="wikitable"		{{! class="wikitable"
	! Rank ! Model ! Params (B) ! Average ⬆️ ! IFEval ! BBH ! MATH Lvl 5 ! GPQA ! MMLU-PRO		! Rank ! Model ! Params (B) ! Average ⬆️ ! [IFEval](https://github.com/google-research/google-research/tree/master/instruction_following_eval) ! [BBH](https://github.com/suzgunmirac/BIG-Bench-Hard) ! [MATH](https://github.com/hendrycks/math) Lvl 5 ! [GPQA](https://github.com/idavidrein/gpqa) ! [MMLU-PRO](https://github.com/hendrycks/test)
	\|-		\|-
	\| 1 \| [https://huggingface.co/MaziyarPanahi/calme-3.2-instruct-78b MaziyarPanahi/calme-3.2-instruct-78b] \| 77.965 \| 52.08 \| 80.6 \| 62.6 \| 40.3 \| 20.4 \| 70.0		\| 1 \| [https://huggingface.co/MaziyarPanahi/calme-3.2-instruct-78b MaziyarPanahi/calme-3.2-instruct-78b] \| 77.965 \| 52.08 \| 80.6 \| 62.6 \| 40.3 \| 20.4 \| 70.0
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	* IFEval 점수: abliterated 버전이 85.9로 최고, Instruct 버전 86.4		* IFEval 점수: abliterated 버전이 85.9로 최고, Instruct 버전 86.4

	~~---~~

	== Coding 카테고리: LiveCodeBench Pass@1 ==		== Coding 카테고리: LiveCodeBench Pass@1 ==
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	{{! class="wikitable"		{{! class="wikitable"
	! Rank ! Model ! Pass@1 ! Easy-Pass@1 ! Medium-Pass@1 ! Hard-Pass@1		! Rank ! Model ! [Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Easy-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Medium-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench) ! [Hard-Pass@1](https://github.com/LiveCodeBench/LiveCodeBench)
	\|-		\|-
	\| 1 \| GPT-4O-2024-05-13 \| 45.6 \| 88.3 \| 33.2 \| 4.2		\| 1 \| GPT-4O-2024-05-13 \| 45.6 \| 88.3 \| 33.2 \| 4.2
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	* LLama3-70b: 70b 파라미터로 9위 기록 (28.3 Pass@1)		* LLama3-70b: 70b 파라미터로 9위 기록 (28.3 Pass@1)

	~~---~~

	== Edge Devices 카테고리: HuggingFace Edge Devices ==		== Edge Devices 카테고리: HuggingFace Edge Devices ==
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	{{! class="wikitable"		{{! class="wikitable"
	! Rank ! Model ! Params (B) ! Average ⬆️ ! IFEval ! BBH		! Rank ! Model ! Params (B) ! Average ⬆️ ! [IFEval](https://github.com/google-research/google-research/tree/master/instruction_following_eval) ! [BBH](https://github.com/suzgunmirac/BIG-Bench-Hard)
	\|-		\|-
	\| 1 \| [https://huggingface.co/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3 JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3] \| 0.0 \| 47.09 \| 73.2 \| 65.5		\| 1 \| [https://huggingface.co/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3 JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3] \| 0.0 \| 47.09 \| 73.2 \| 65.5
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	* T3Q 특이사항: 0B 파라미터 표시 (계산 오류 가능성)		* T3Q 특이사항: 0B 파라미터 표시 (계산 오류 가능성)

	~~---~~

	== Performance Analysis ==		== Performance Analysis ==
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	}}		}}

	~~---~~

	== Limitations ==		== Limitations ==
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	* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재		* Coding 카테고리: 상용 모델만 포함, 오픈소스 모델 부재
	* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)		* Edge Devices: 일부 모델 파라미터 계산 오류 가능성 (T3Q 0B)
	* 데이터 신선도: 2026-08-~~07 기준, 주기적 업데이트 필요~~		* 데이터 신선도: 2026-08-24 재확인 — 소스 리더보드(OLL/LBC) 데이터 변동 없음

	~~---~~

	== References ==		== References ==
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	* [JungZoona/T3Q-Qwen2.5-14B Hub](https://huggingface.co/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3)		* [JungZoona/T3Q-Qwen2.5-14B Hub](https://huggingface.co/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3)

	~~---~~

	== Related Pages ==		== Related Pages ==

	* [[HuggingFace Open LLM Leaderboard]]		* [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
	* [[LiveCodeBench]]		* [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)
	* [[LLM ~~Benchmark]~~]		* [LLM 벤치마크](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
	* [[Open Source Models]]		* [Open Source Models](https://huggingface.co/models)

	[[Category:AI]]		[[Category:AI]]
	[[Category:Reference]]		[[Category:Reference]]

대문

Admin — Wed, 19 Aug 2026 11:34:41 GMT

@@ Line 1: / Line 1: @@
-{{Status
+<strong>Wiki for those who are enthusiastic for High Performance Computing !</strong>[[File:Galileo Galilei.png|center|frameless|539x539px]]
 [[Category:Server]]
 [[Category:Reference]]

Top 10 오픈소스 AI 모델 동향

Clara — Mon, 17 Aug 2026 00:20:42 GMT

정기 업데이트: 조사일시 및 last_update 갱신 (2026-08-17)

← Older revision		Revision as of 09:20, 17 August 2026
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	\|status=Draft		\|status=Draft
	\|owner=Knowledge Agent		\|owner=Knowledge Agent
	\|last_update=2026-08-10		\|last_update=2026-08-17
	\|review=Pending		\|review=Pending
	}}		}}
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	=== 조사 정보 ===		=== 조사 정보 ===

	* 조사 일자: 2026-08-10 10:00 KST		* 조사 일자: 2026-08-17 10:00 KST
	* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)		* 데이터 출처: [HuggingFace Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard), [LiveCodeBench](https://huggingface.co/spaces/livecodebench/leaderboard)
	* 다음 업데이트 예정: 2026-08-17		* 다음 업데이트 예정: 2026-08-24

	---		---