Add LitJev (Jev-schema decision layer for the Qwen family)
#2
by fredreick - opened
This view is limited to 50 files because it contains too many changes. See the raw diff here.
- .gitattributes +0 -3
- README.md +9 -281
- check.js +0 -9
- data/index.json +0 -0
- data/methodology.json +0 -0
- data/orgs/Cloudflare.png +0 -0
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- data/orgs/OmniJev.png +0 -0
- data/orgs/OneShotOrg.png +0 -0
- data/orgs/PelaAI.png +0 -0
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- data/orgs/StandardThinking.png +0 -0
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- data/orgs/moganai.png +0 -0
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README.md
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---
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title: Jev
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emoji: 🔬
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colorFrom: yellow
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colorTo: blue
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sdk: static
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header: mini
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pinned: false
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short_description:
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thumbnail: https://huggingface.co/spaces/multimodalart/jev-
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models:
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| 12 |
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- PelaAI/KnowLine-31B-Gen1
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| 13 |
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- fastino/GLiDE
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| 14 |
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- sthanika-ai/Sieve-31B-v3
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| 15 |
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- turion-ai/turion-jev-31b
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| 16 |
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- vllm-sr/d3-ultra
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| 17 |
-
- tattrongvu/Jeffan-31b-1710
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| 18 |
-
- h2oai/h2o-lightning-31b
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| 19 |
-
- Rover00/WeMM-JEV
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| 20 |
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- baselabs/mammoth-1
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| 21 |
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- Ainvest-World/Ainvest-Decision-27b-v1.0
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| 22 |
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- perplexity-ai/pplx-decider-v1.2
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| 23 |
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- autotrust/AutoTrust-JEV-27B-v1.1
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| 24 |
-
- startlux-models/StartLux-Decision-v1.1-27B-Instant
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| 25 |
-
- PNPM244/oak1.1
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| 26 |
-
- andyzhang232/ajev-gemma4-31b-lm6q
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| 27 |
-
- LycheeAI/Lychee-27B
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| 28 |
-
- vllm-sr/d3-turbo
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| 29 |
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- vllm-sr/d3
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| 30 |
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- taoszhang/VisionJEV
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| 31 |
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- bespokelabs/Nimble-v4-max
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| 32 |
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- morriszjm/AnyJev-Tacitus-31B
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| 33 |
-
- Mapika/decider-31b
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| 34 |
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- plantwaterer/allec
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| 35 |
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- PelaAI/KnowLine-35B-A3B-Gen1.5
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| 36 |
-
- OneShotOrg/OneShot
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| 37 |
-
- scar-ai/vera-large
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| 38 |
-
- sanghwa-na/bobcat-1.3
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| 39 |
-
- mukaddamzaid/amos-1-large
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| 40 |
-
- Maincode/matilda-decision-v1
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| 41 |
-
- PelaAI/KnowLine-26B-A4B-Gen2.5
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| 42 |
-
- frontier-infra/jebadiah-27b-v2-1
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| 43 |
-
- FINAL-Bench/Darwin-27B-ZTC
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| 44 |
-
- apertixai/cerno-27b
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| 45 |
-
- torchcast-ai/torchcast-decision-27b
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| 46 |
-
- OmniJev/OneJev1.6-27B
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| 47 |
-
- jsaurabh/qwen-decision-27b-noncausal-lora
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| 48 |
-
- chinhnc/Quyet-1.0-Large
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| 49 |
-
- plantwaterer/garum
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| 50 |
-
- baselabs/elephant-1
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| 51 |
-
- StandardThinking/StandardOne-35B-SH
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| 52 |
-
- FrontiersMind/Lumma-fev-27B
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| 53 |
-
- sthanika-ai/Sieve-27B-v2
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| 54 |
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- moganai/mogan-decision-31B-it
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| 55 |
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- MISA-core/linne-fern-1-0
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| 56 |
-
- jaredpalmer/kev-27b
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| 57 |
-
- juspay/Xor-26B-A4B
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| 58 |
-
- lihe07/span-02
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| 59 |
-
- plantwaterer/garas
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| 60 |
-
- shisa-ai/shisa-de-2.1
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| 61 |
-
- caiovicentino1/Eikos-27B-FP8
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| 62 |
-
- shgao/rsi-jev-v6.1-vl-27b
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| 63 |
-
- PelaAI/KnowLine-9B-Gen1
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| 64 |
-
- startlux-models/StartLux-Decision-v1.1-9B-Instant
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| 65 |
-
- vllm-sr/Decision-2.0-Vega-27B
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| 66 |
-
- autotrust/JEV-35B
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| 67 |
-
- autotrust/JEV-27B
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| 68 |
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- matthewagi/Tern-35B-A3B
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| 69 |
-
- surogate/rune-26b-a4b-GGUF
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| 70 |
-
- SkyPanther/synack-decide-26b-a4b
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| 71 |
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- PelaAI/KnowLine-4B-Gen5.5
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| 72 |
-
- PixilabAI/Blink-v0.3-26B-A4B-NVFP4
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| 73 |
-
- theunnecessarythings/JADE
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| 74 |
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- org2ai/Wald-26B-A4B
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| 75 |
-
- andyzhang232/ajev-gemma4-26b-a4b-lora1
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| 76 |
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- Cloudflare/clef
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| 77 |
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- startlux-models/StartLux-Decision-v1.1-4B-Instant
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| 78 |
-
- perplexity-ai/pplx-decider-flash-v1.2
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| 79 |
-
- vllm-sr/d3-flash
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| 80 |
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- kirp/jpt-35b-a3b
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| 81 |
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- juspay/xor
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| 82 |
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- autotrust/GEV-26B-Decide
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| 83 |
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- OmniJev/OneJev1.6-9B
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| 84 |
-
- nace-ai/drex-v2.0
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| 85 |
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- plantwaterer/muria
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| 86 |
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- tattrongvu/Jeffan-4B-2010
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| 87 |
-
- victorbennett/Verdin-4B-v1.1
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| 88 |
-
- bespokelabs/Bespoke-Nimble-9B-v3
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| 89 |
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- frontier-infra/jebadiah-9b-v2-1
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| 90 |
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- vllm-sr/d3-mini
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| 91 |
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- andyzhang232/ajev-gemma4-12b-lora7
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| 92 |
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- OmniJev/OneJev1.6-4B
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| 93 |
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- sky7350/Mica-v0.5-4B
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| 94 |
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- olaverse/PurpleMIST-Flash-1.0
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| 95 |
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- apertixai/cerno-9b
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| 96 |
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- WangSenQWQ/Senova-4B
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| 97 |
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- sthanika-ai/Sieve-9B-v2
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| 98 |
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- Mapika/decider-35b-a3b-nvfp4
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| 99 |
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- EldanRing/Winnow-12B
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| 100 |
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- ironbcc/Seb-9B-v2
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| 101 |
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- vllm-sr/Decision-2.0-Lux-9B
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| 102 |
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- nace-ai/drex-v1.5
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| 103 |
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- HopitAI/hopper
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| 104 |
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- corners-ai/CoCo-Decision-2.4-4B
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| 105 |
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- Cloudflare/clef-omni
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| 106 |
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- alibiserikbay/JevK5-9B
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| 107 |
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- Cloudflare/clef-flash
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| 108 |
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- shgao/rsi-jev-v6.1-vl-4b
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| 109 |
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- fdemelo/jegue
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| 110 |
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- eljiwo/jiwo-4b
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| 111 |
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- kirp/jpt-9b
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| 112 |
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- everettjf/ezjev-4b-s2
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| 113 |
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- akhilaaa3/Jev-Omni
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| 114 |
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- DoccyHealth/Solomon
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| 115 |
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- StandardThinking/StandardOne-8B-SH
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| 116 |
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- MLukauskas/amber-hybrid-4b
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| 117 |
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- autotrust/JEV-9B
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| 118 |
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- bespokelabs/Bespoke-Nimble-9B-v2
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| 119 |
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- sthanika-ai/Sieve-9B
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| 120 |
-
- apertixai/cerno-4b
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| 121 |
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- sthanika-ai/Sieve-4B
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| 122 |
-
- jaredpalmer/kev-9b
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| 123 |
-
- blackmallangcow/nari-decision-4b
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| 124 |
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- empiriolabsai/aplomb-1
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| 125 |
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- vllm-sr/Decision-2.0-Nox-4B
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| 126 |
-
- HopitAI/hopper-g
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| 127 |
-
- startlux-models/StartLux-Decision-v1.1-2B-Instant
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| 128 |
-
- flymy-ai/decision-4b-v1.6
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| 129 |
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- StandardThinking/StandardOne-3B-SH
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| 130 |
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- kirp/jpt-4b
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| 131 |
-
- internlm/Intern-Decision-4B
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| 132 |
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- shgao/rsi-jev-v5.0-vl-3b
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| 133 |
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- Valen-Team/Valen-4B
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| 134 |
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- TokenRhythm/NeoHorse-Jev-4B
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| 135 |
-
- alibiserikbay/JevK5
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| 136 |
-
- Mapika/decider-4b
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| 137 |
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- interfaze-ai/lev
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| 138 |
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- theaviv/Lev1-3.7B
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| 139 |
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- jaredpalmer/kev-4b
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| 140 |
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- chaoliangUNSW/Jev-Style-2B-Decision-v4
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| 141 |
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- sthanika-ai/Sieve-2B-v3
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| 142 |
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- LatentMesh-Labs/latentmesh-blitz-2b-v1
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| 143 |
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- felhen-ai/saracura-ptbr-4b
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| 144 |
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- cbuk10001/Cam1
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| 145 |
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- vllm-sr/d3-nano
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| 146 |
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- kpiya/kas-4b
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| 147 |
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- togethercomputer/Tev1-4B-experimental
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| 148 |
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- EldanRing/Winnow-E4B
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| 149 |
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- Leptos-ai/Aurelis-2B
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| 150 |
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- AmirBraham/jevstral-8b
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| 151 |
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- wayfind/metask-jev-4b-policy-mix
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| 152 |
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- UserMoonlight/intelif-qwen3-4b
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| 153 |
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- knowledgator/gliclass-v4-edge
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| 154 |
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- LiquidAI/d1-3B
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| 155 |
-
- pngwn/system-one-qwen3.5-4b-scorer-v2b
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| 156 |
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- scar-ai/vera-core-2
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| 157 |
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- OmniJev/OneJev1.6-0.8B
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| 158 |
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- Kyunghwan-kim/crystal-0.8b
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| 159 |
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- vllm-sr/vela3-fast
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| 160 |
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- tardellirs/crivo-1b
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| 161 |
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- davidburhans/gevva-e4b
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| 162 |
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- startlux-models/StartLux-Decision-v1.1-0.8B-Instant
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| 163 |
-
- run-saina/saina-helm-2-omni-0.8b
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| 164 |
-
- vllm-sr/d3-lite
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| 165 |
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- MLukauskas/amber-0.4b
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| 166 |
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- eljiwo/jiwo-0.8b
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| 167 |
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- run-saina/saina-helm-2-0.8b
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| 168 |
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- flock-io/this-that-model-1.2
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| 169 |
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- davidburhans/gevva-e2b
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| 170 |
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- tardellirs/crivo-400m
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| 171 |
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- Mapika/decider-2b
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| 172 |
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- vllm-sr/Decision-2.0-Sol-2B
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| 173 |
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- AnamK/jdi-ptr14-0.8b
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| 174 |
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- Valen-Team/Valen-2B
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| 175 |
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- vllm-sr/vela3-fast-vision
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| 176 |
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- sthanika-ai/sieve-2b
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| 177 |
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- teilomillet/wyat-1-800m
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| 178 |
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- internlm/Intern-Decision-2B
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| 179 |
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- sthanika-ai/Sieve-0.8B
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| 180 |
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- StrandsAgents/strands-decider-2B-hobson-v21
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| 181 |
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- carrtesy/EXAONE-4.0-1.2B-JEV
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| 182 |
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- tasksource/tasksource-decider-nano
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| 183 |
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- tardellirs/crivo-68m
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| 184 |
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- Elfsong/jev-ettin-150m-v16
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| 185 |
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- vllm-sr/Decision-2.0-Eos-0.8B
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| 186 |
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- tardellirs/crivo-150m
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| 187 |
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- hotchpotch/bekko-system-one-v0-400m
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| 188 |
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- codavidgarcia/mola-150m
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| 189 |
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- vllm-sr/d3-edge
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| 190 |
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- codavidgarcia/mola-68m
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| 191 |
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- Elfsong/jev-flan-t5-large-20261017-public-v2
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| 192 |
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- decision-tune/decisiontune-1.0
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| 193 |
-
- Valen-Team/Valen-0.8B
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| 194 |
-
- Hanno-Labs/bosun-v3.1-1.7b
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| 195 |
-
- vllm-sr/Decision-2.0-Kai-0.6B
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| 196 |
-
- Lukitaduarte/dinah-1
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| 197 |
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- jaredpalmer/kev-0.8b
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| 198 |
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- lCREEl/pick-150m
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| 199 |
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- kirp/jpt-0.8b
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| 200 |
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- Elfsong/jev-ettin-400m-20261013-v0
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| 201 |
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- mohamedlotfy50/sifr-0.8b-v3
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| 202 |
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- tardellirs/crivo-32m
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| 203 |
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- tardellirs/prumo
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| 204 |
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- cortex-agent-llc/kodiak-v0.2-1b-accuracy
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| 205 |
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- internlm/Intern-Decision-0.8B
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| 206 |
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- chaoliangUNSW/Jev-Style-0.8B-Decision-v3
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| 207 |
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- togethercomputer/Tev1-0.8B-experimental
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| 208 |
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- hotchpotch/bekko-system-one-v0-68m
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| 209 |
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- LiquidAI/d1-omni-600M
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| 210 |
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- tardellirs/crivo-17m
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| 211 |
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- wfzyx/von
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- Hanno-Labs/bosun-v3.1-0.6b
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| 213 |
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- scar-ai/vera-spark
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| 214 |
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- moganai/lavoir
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| 215 |
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- fastino/GLiNER2.5-Decide
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| 216 |
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- convaiinnovations/laya
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| 217 |
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- alibiserikbay/JevK5-Lite
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| 218 |
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- monotykamary/LFM2.5-2.6B-RLCD
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| 219 |
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- hotchpotch/bekko-system-one-v0-17m
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| 220 |
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- Contrastive-LM/CLM-v0.1-8B
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| 221 |
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- notnotsamuel/LFM2.5-350M-RLCD
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| 222 |
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- DangerLabs/DM-JEPA
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| 223 |
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- SupersonicLabs/Julia-1
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| 224 |
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- kshitijthakkar/nirnaya-0.4b-0.2a-decision
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| 225 |
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- heman10x/rlcd-modernbert-151m
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| 226 |
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- shisa-ai/shisa-de-2
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| 227 |
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- OmniJev/OneJev1.5-0.8B
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| 228 |
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- OmniJev/OneJev1.5-9B
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| 229 |
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- OmniJev/OneJev1.5-27B
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| 230 |
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- leinenterprises/Herbert_v0.5
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| 231 |
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- tinnel123/jev-d3-46k
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| 232 |
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- ken-jo/QEV-2B
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| 233 |
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- ken-jo/QEV-0.8B
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| 234 |
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- sthanika-ai/Sieve-Vision-4B
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| 235 |
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- RBDash-Team/RBDash-Decision-v0.2
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| 236 |
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- sthanika-ai/Sieve-Vision-27B
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| 237 |
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- AlexWortega/openjev
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| 238 |
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- bespokelabs/Bespoke-Nimble-9B
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| 239 |
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- C-Tianyu/NanoJev
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| 240 |
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- DavidHatley/system-one-mini
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| 241 |
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- DeepMostInnovations/sales-conversion-model-reinf-learning
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| 242 |
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- fastino/gliner2.5-base-v1
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| 243 |
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- fastino/gliner2.5-multi-v1
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| 244 |
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- fastino/gliner2.5-small-v1
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| 245 |
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- flock-io/this-that-model-1.0
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| 246 |
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- frontier-infra/jebadiah-27b
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| 247 |
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- FrontiersMind/Lumma-fev-0.1b
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| 248 |
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- FrontiersMind/Lumma-fev-0.6b
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| 249 |
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- google/diffusiongemma-26B-A4B-it
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| 250 |
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- google/gemma-4-31B
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| 251 |
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- harshatheg/Qwen-2.5-1B-RLCD
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| 252 |
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- knowledgator/gliformer-large-v1
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| 253 |
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- llm-semantic-router/Decision-1.0-Eos-0.8B
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| 254 |
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- llm-semantic-router/Decision-1.0-Kai-0.6B
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| 255 |
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- llm-semantic-router/Decision-1.0-Lex-0.6B
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| 256 |
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- llm-semantic-router/Decision-1.0-Lux-9B
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| 257 |
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- llm-semantic-router/Decision-1.0-Nox-4B
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| 258 |
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- llm-semantic-router/Decision-1.0-Sol-2B
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| 259 |
-
- Manav2op/verdict-small
|
| 260 |
-
- Mapika/decider-35b-a3b
|
| 261 |
-
- MoLeMo-Lab/mojev
|
| 262 |
-
- perplexity-ai/pplx-decider-v1-27b
|
| 263 |
-
- pngwn/system-one-qwen3.5-4b-scorer
|
| 264 |
-
- Qwen/Qwen2.5-1.5B
|
| 265 |
-
- Qwen/Qwen3-4B-Instruct-2507
|
| 266 |
-
- Qwen/Qwen3.5-4B-Base
|
| 267 |
-
- Qwen/Qwen3.6-27B
|
| 268 |
-
- Qwen/Qwen3.8-27B
|
| 269 |
-
- Qwen/Qwen3.8-27B-FP8
|
| 270 |
-
- andyzhang232/ajev-gemma4-12b-lora5
|
| 271 |
-
- Lukitaduarte/dinah-0
|
| 272 |
-
- OmniJev/OneJev-0.8B
|
| 273 |
-
- perplexity-ai/pplx-decider-v1.1-27b
|
| 274 |
-
- corners-ai/CoCo-Decision-4B
|
| 275 |
-
- frontier-infra/jebadiah-9b-v2
|
| 276 |
-
- Maincode/matilda-jev-v1.5
|
| 277 |
-
- sthanika-ai/Sieve-27B
|
| 278 |
-
- sthanika-ai/Sieve-2B-v2
|
| 279 |
-
- scar-ai/vera-core
|
| 280 |
-
- OmniJev/OneJev1.5-4B
|
| 281 |
---
|
| 282 |
|
| 283 |
# Jev Reproductions Tracker
|
| 284 |
|
| 285 |
Who is rebuilding TypeSafe's **Jev** (System One / RLCD) in the open?
|
| 286 |
|
| 287 |
-
This static Space
|
| 288 |
|
| 289 |
- **Decoding**: parallel constrained decoding on stock models (inference technique, no new weights)
|
| 290 |
- **Diffusion**: text diffusion models run in a "Jev mode"
|
|
@@ -292,23 +22,21 @@ This static Space opens on the Decision Index leaderboard; the **News** tab trac
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|
| 292 |
- **Prior art**: "this already exists" claims
|
| 293 |
- **Explainers**: architecture speculation, explainers, benchmarks and roundups
|
| 294 |
|
| 295 |
-
Cards sort by a **trending** score: ♥ likes on X + 5 × GitHub stars + 8 × Hub likes + views ÷ 500
|
| 296 |
|
| 297 |
…plus a section on what is still **not** in the open: TypeSafe's weights, the RLCD algorithm, and any open model matching Jev's calibration claims.
|
| 298 |
|
| 299 |
Hugging Face models and Spaces are first-class artifacts here, not only GitHub repos.
|
| 300 |
|
| 301 |
-
##
|
| 302 |
|
| 303 |
-
|
| 304 |
-
|
| 305 |
-
The public suite is 37 benchmarks in five areas, each chance-corrected so 0 is random guessing and 100 is perfect; an unanswered request counts as wrong. The private tests and the new-domain tasks are never published. The **Methodology** page has the full rules, every benchmark's subset and baseline, and the changelog.
|
| 306 |
|
| 307 |
## Contributing
|
| 308 |
|
| 309 |
-
All
|
| 310 |
|
| 311 |
-
Engagement metrics are a snapshot (2026-09-
|
| 312 |
|
| 313 |
## Credits
|
| 314 |
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|
|
| 1 |
---
|
| 2 |
+
title: Jev Reproductions Tracker
|
| 3 |
emoji: 🔬
|
| 4 |
colorFrom: yellow
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| 5 |
colorTo: blue
|
| 6 |
sdk: static
|
| 7 |
header: mini
|
| 8 |
pinned: false
|
| 9 |
+
short_description: Open reproductions of TypeSafe's Jev, all in one place
|
| 10 |
+
thumbnail: https://huggingface.co/spaces/multimodalart/jev-reproductions-tracker/resolve/main/og.png
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|
| 11 |
---
|
| 12 |
|
| 13 |
# Jev Reproductions Tracker
|
| 14 |
|
| 15 |
Who is rebuilding TypeSafe's **Jev** (System One / RLCD) in the open?
|
| 16 |
|
| 17 |
+
This static Space tracks the artifacts in one combined grid, color-coded by kind:
|
| 18 |
|
| 19 |
- **Decoding**: parallel constrained decoding on stock models (inference technique, no new weights)
|
| 20 |
- **Diffusion**: text diffusion models run in a "Jev mode"
|
|
|
|
| 22 |
- **Prior art**: "this already exists" claims
|
| 23 |
- **Explainers**: architecture speculation, explainers, benchmarks and roundups
|
| 24 |
|
| 25 |
+
Cards sort by a **trending** score: ♥ likes on X + 5 × GitHub stars + 8 × Hub likes + views ÷ 500. Use the category and "has" chips to filter, or switch the sort.
|
| 26 |
|
| 27 |
…plus a section on what is still **not** in the open: TypeSafe's weights, the RLCD algorithm, and any open model matching Jev's calibration claims.
|
| 28 |
|
| 29 |
Hugging Face models and Spaces are first-class artifacts here, not only GitHub repos.
|
| 30 |
|
| 31 |
+
## Regenerating the social image
|
| 32 |
|
| 33 |
+
`og.html` is the 1200×630 stage that produces `og.png` (rendered at 2× with headless Chrome). It reuses the page's styles and data, so re-render it after adding artifacts to keep the counts current.
|
|
|
|
|
|
|
| 34 |
|
| 35 |
## Contributing
|
| 36 |
|
| 37 |
+
All data lives in one JS array (`ITEMS`) near the bottom of `index.html`. Open a PR on this Space to add or correct an entry. Please include the announcement post on X if there is one, and the Hub / GitHub link.
|
| 38 |
|
| 39 |
+
Engagement metrics are a snapshot (2026-09-17) from public post metadata and will drift.
|
| 40 |
|
| 41 |
## Credits
|
| 42 |
|
check.js
DELETED
|
@@ -1,9 +0,0 @@
|
|
| 1 |
-
const fs=require('fs');
|
| 2 |
-
const h=fs.readFileSync('news.html','utf8');
|
| 3 |
-
const js=h.slice(h.indexOf('<script>')+8,h.indexOf('</script>'));
|
| 4 |
-
const head=js.slice(0,js.indexOf('/* ---- state ---- */'));
|
| 5 |
-
const checks=`
|
| 6 |
-
console.log('CATS',CATS.map(c=>c.order+':'+c.id).join(' '),'| ITEMS',ITEMS.length,'| orphans',ITEMS.filter(i=>!CATS.find(c=>c.id===i.cat)).length,'| maxdesc',Math.max(...ITEMS.map(i=>i.desc.length)));
|
| 7 |
-
for(const c of CATS){console.log(' ',c.id,'->',sortItems(ITEMS.filter(i=>i.cat===c.id),'trending').slice(0,5).map(i=>i.title.slice(0,26)+'='+trending(i)).join(' | '))}
|
| 8 |
-
`;
|
| 9 |
-
eval(head+checks);
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data/index.json
DELETED
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See raw diff
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