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Wop
wop
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108 following
https://cosmos-vb.netlify.app/
koo1140
AI & ML interests
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Recent Activity
replied
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2 minutes ago
# One Script, Every Benchmark Every Bench Labs benchmark had its own eval files. Now there's one script, hosted in the leaderboard Space: ```bash curl -sLO https://huggingface.co/spaces/bench-labs/BenchLabs-Leaderboard/resolve/main/script.py pip install torch transformers python script.py --model your/model ``` It runs the full suite with the official scoring — Effortless (exact-match), Easy (hybrid category-aware), Mid (loglikelihood: `acc`, `acc_norm`, `soft_score_norm`) — and reports every category and subcategory, not just one number. Output includes `leaderboard.json`: a ready-to-paste `models.json` entry. Run the script, paste it, open a PR on the [leaderboard](https://huggingface.co/spaces/bench-labs/BenchLabs-Leaderboard). Done. https://huggingface.co/bench-labs
replied
to
their
post
about 2 hours ago
# One Script, Every Benchmark Every Bench Labs benchmark had its own eval files. Now there's one script, hosted in the leaderboard Space: ```bash curl -sLO https://huggingface.co/spaces/bench-labs/BenchLabs-Leaderboard/resolve/main/script.py pip install torch transformers python script.py --model your/model ``` It runs the full suite with the official scoring — Effortless (exact-match), Easy (hybrid category-aware), Mid (loglikelihood: `acc`, `acc_norm`, `soft_score_norm`) — and reports every category and subcategory, not just one number. Output includes `leaderboard.json`: a ready-to-paste `models.json` entry. Run the script, paste it, open a PR on the [leaderboard](https://huggingface.co/spaces/bench-labs/BenchLabs-Leaderboard). Done. https://huggingface.co/bench-labs
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about 2 hours ago
bench-labs/BenchLabs-Leaderboard:
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Organizations
wop
's models
51
Sort: Recently updated
wop/greetings-2000-params
7.46k
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Updated
4 days ago
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261
wop/greetings-2000-params-Q8_0-GGUF
7.46k
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14 days ago
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80
wop/the-largest
2.7350985440587826e+145T
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Jun 16
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2.74k
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wop/Monostep-v1
Text Generation
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Jun 4
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11
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wop/Cosmos-T2A-low
Text Generation
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Jun 4
wop/Cosmos-T2-Accelerate-Beta2
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Jun 3
wop/Cosmos-T2-Accelerate-beta
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Jun 2
wop/Cosmos-T2-Accelerate-Preview
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Jun 1
wop/Cosmos-T2-80M-Test
Text Generation
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May 31
wop/Cosmos-T-80M
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May 30
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4
wop/Creativity-lfm2-5-350M
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Apr 7
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27
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wop/Opus4Qwen4
4B
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Mar 26
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53
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wop/vordex-Q8_0-GGUF
17.6M
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Feb 22
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wop/vordex
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Feb 22
wop/arptron-beta-5
Text Generation
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0.1B
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Dec 21, 2025
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11
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wop/arptron-beta-5-Q8_0-GGUF
Text Generation
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Apr 26, 2025
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wop/arptron-beta-5-Q4_K_M-GGUF
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Apr 26, 2025
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7
wop/arptron-beta-0
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Apr 26, 2025
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wop/arptron_beta_0-Q4_K_M-GGUF
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Feb 19, 2025
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wop/arptron_beta_0
0.1B
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Feb 19, 2025
wop/awareness_test-Q8_0-GGUF
Text Generation
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Oct 4, 2024
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14
wop/Quble_test_model_v1_INSTRUCT_v1-Q2_K-GGUF
Text Generation
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Sep 28, 2024
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wop/Quble_test_model_v1_INSTRUCT_v1-Q3_K_S-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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wop/Quble_test_model_v1_INSTRUCT_v1-Q3_K_M-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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wop/Quble_test_model_v1_INSTRUCT_v1-Q3_K_L-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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wop/Quble_test_model_v1_INSTRUCT_v1-Q4_0-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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9
wop/Quble_test_model_v1_INSTRUCT_v1-Q4_K_S-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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5
wop/Quble_test_model_v1_INSTRUCT_v1-Q4_K_M-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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12
wop/Quble_test_model_v1_INSTRUCT_v1-Q5_0-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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11
wop/Quble_test_model_v1_INSTRUCT_v1-Q5_K_S-GGUF
Text Generation
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0.2B
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Sep 28, 2024
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13
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