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Thinking
Wop
wop
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145 following
https://bench-labs-org.github.io
koo1140
AI & ML interests
AI research AGI
Recent Activity
updated
a dataset
about 17 hours ago
bench-labs/slop-classification
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TobiasLogic
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about 17 hours ago
We’ve been cooking something new at Bench Labs. Introducing Cagliostro-v3, our new 146M parameter language model trained completely from scratch. The run isn’t even finished yet. At the current checkpoint: • 146M parameters • 72.7B / 75B tokens trained • 26.27 Open SLM Index • 43.80 ArithMark-3 • Trained on a single RTX 5090 • ~90K to 103K tokens/sec during training • ~9 days for the full run • Apache 2.0 For some context, SmolLM2-135M scores 27.13 on the same Index after being trained on roughly 2 trillion tokens. Cagliostro-v3 is currently at 26.27 with only ~72.7B. That’s around 27x fewer training tokens. The model also currently Hold the number 3rd spot for ArithMark-3, scoring 43.80 This wasn’t achieved by just throwing more tokens at the model. A huge part of v3 has been figuring out architecture, data mixture, and training dynamics at this scale. The model uses a custom 30-layer decoder architecture with grouped-query attention and cross-head subspace attenuation, SwiGLU, RMSNorm, RoPE, tied embeddings, and a warmup-stable-decay training schedule. During cooldown we also substantially shifted the data mixture toward higher-quality synthetic textbook and mathematics data, with the mathematics share increasing from 10% to 28%. And everything is open. The repository contains the training history with checkpoints pushed roughly every 30 minutes, so you can inspect how the model evolved throughout training rather than only seeing the final weights. This is still a pre-final checkpoint. We have roughly 2.3B tokens left and the learning-rate cooldown is still running. So 26.27 isn’t the final number. Really excited to see where the last part of the run lands. Cagliostro-v3: https://huggingface.co/bench-labs/cagliostro-v3 Built by Bench Labs. Open SLM Leaderboard: https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard
liked
a model
about 21 hours ago
bench-labs/cagliostro-v3
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Organizations
wop
's models
58
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wop/littlechat-ultra-50M-Instruct
Updated
20 days ago
•
143
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1
wop/littlechat-ultra
Updated
20 days ago
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158
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1
wop/littlechat-10m-instruct
Updated
20 days ago
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5.32k
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1
wop/littlechat-5m-instruct
Updated
Aug 12
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43
wop/littlechat-50M
Updated
Aug 9
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62
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2
wop/artefact-lc-1
Updated
Aug 7
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6
wop/MoE-model-test-kaggle
Updated
Jul 24
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4
wop/greetings-2000-params
7.46k
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Updated
Jul 15
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11
wop/greetings-2000-params-Q8_0-GGUF
7.46k
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Updated
Jul 5
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7
wop/the-largest
Updated
Jun 16
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128
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12
wop/Monostep-v1
Text Generation
•
Updated
Jun 4
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19
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4
wop/Cosmos-T2A-low
Text Generation
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Jun 4
wop/Cosmos-T2-Accelerate-Beta2
Text Generation
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Jun 3
wop/Cosmos-T2-Accelerate-beta
Text Generation
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Jun 2
wop/Cosmos-T2-Accelerate-Preview
Text Generation
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Jun 1
wop/Cosmos-T2-80M-Test
Text Generation
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May 31
wop/Cosmos-T-80M
Text Generation
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May 30
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4
wop/Creativity-lfm2-5-350M
0.4B
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Updated
Apr 7
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37
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2
wop/Opus4Qwen4
4B
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Updated
Mar 26
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281
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2
wop/vordex-Q8_0-GGUF
17.6M
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Updated
Feb 22
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3
wop/vordex
Updated
Feb 22
wop/arptron-beta-5
Text Generation
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0.1B
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Updated
Dec 21, 2025
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15
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1
wop/arptron-beta-5-Q8_0-GGUF
Text Generation
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0.1B
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Updated
Apr 26, 2025
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6
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1
wop/arptron-beta-5-Q4_K_M-GGUF
Text Generation
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0.1B
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Updated
Apr 26, 2025
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23
wop/arptron-beta-0
0.1B
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Updated
Apr 26, 2025
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3
wop/arptron_beta_0-Q4_K_M-GGUF
0.2B
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Updated
Feb 19, 2025
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5
wop/arptron_beta_0
0.1B
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Updated
Feb 19, 2025
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5
wop/awareness_test-Q8_0-GGUF
Text Generation
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0.2B
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Updated
Oct 4, 2024
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12
wop/Quble_test_model_v1_INSTRUCT_v1-Q2_K-GGUF
Text Generation
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0.2B
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Updated
Sep 28, 2024
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19
wop/Quble_test_model_v1_INSTRUCT_v1-Q3_K_S-GGUF
Text Generation
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0.2B
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Updated
Sep 28, 2024
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11
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