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https://jevstyle.com

ChaoliangY96601
lawrence3699
chaoliang-yan-a7061a370

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Recent Activity

updated a model 1 day ago

chaoliangUNSW/Jev-Style-2B-Decision-v4.2-GGUF

updated a model 1 day ago

chaoliangUNSW/Jev-Style-2B-Decision-v4-GGUF

updated a model 1 day ago

chaoliangUNSW/Jev-Style-2B-Decision-v4

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chaoliangUNSW 's collections 4

Jev-Style: earlier releases (v1, v2, MacJev, Cascade-9B)

Archived Jev-Style models kept for existing integrations: 2B v1 and v2, MacJev-322M (Laya-based), the Cascade-9B config. Current: 2B v4, 0.8B v3.

chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-GGUF

Text Classification • 2B • Updated 9 days ago • 15.7k • 35
chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-MLX-bf16

Text Classification • 2B • Updated 9 days ago • 3.41k • 12
chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2

Text Classification • 2B • Updated 9 days ago • 1.86k • 6
chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-GGUF

Text Classification • 2B • Updated 9 days ago • 2.26k • 14

Jev-Style Decision v3 (0.8B + 2B)

Jev-style decisions with open weights: a calibrated probability for every option in one pass. v3: 0.8B and 2B text, 25,600-token input, Apache-2.0.

chaoliangUNSW/Jev-Style-2B-Decision-v3

Text Classification • 2B • Updated 9 days ago • 1.81k • 16
chaoliangUNSW/Jev-Style-2B-Decision-v3-GGUF

Text Classification • 2B • Updated 9 days ago • 6.5k • 16
chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX

Text Classification • Updated 9 days ago • 2.25k • 7
chaoliangUNSW/Jev-Style-0.8B-Decision-v3

Text Classification • 0.8B • Updated 9 days ago • 1.95k • 11

Jev-Style Decision v4 (2B)

Jev-style decisions on text and images with open weights: a calibrated probability for every option in one pass. 2B, 32,768-token input, Apache-2.0.

Running on Zero

Agents

Jev-Style · Local Agent Decisions

⚖

Route tickets, review agent commands and check receipts
chaoliangUNSW/Jev-Style-2B-Decision-v4

Text Classification • 2B • Updated 1 day ago • 3.04k • 10
chaoliangUNSW/Jev-Style-2B-Decision-v4-GGUF

Text Classification • 2B • Updated 1 day ago • 17.8k • 9
chaoliangUNSW/Jev-Style-2B-Decision-v4-MLX

Text Classification • Updated 9 days ago • 5.21k • 6

Jev-Style 0.8B Decision v3

Jev-style decisions on your laptop: a calibrated probability for every option in one pass. 0.8B, 25,600-token input, Apache-2.0.

chaoliangUNSW/Jev-Style-0.8B-Decision-v3

Text Classification • 0.8B • Updated 9 days ago • 1.95k • 11
chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF

Text Classification • 0.8B • Updated 9 days ago • 21.2k • 31
chaoliangUNSW/Jev-Style-0.8B-Decision-v3-MLX

Text Classification • Updated 9 days ago • 2.61k • 9
Running on Zero

Agents

1

Jev-Style v3

⚖

1

0.8B decisions, a probability for every option

Jev-Style: earlier releases (v1, v2, MacJev, Cascade-9B)

Archived Jev-Style models kept for existing integrations: 2B v1 and v2, MacJev-322M (Laya-based), the Cascade-9B config. Current: 2B v4, 0.8B v3.

chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-GGUF

Text Classification • 2B • Updated 9 days ago • 15.7k • 35
chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-MLX-bf16

Text Classification • 2B • Updated 9 days ago • 3.41k • 12
chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2

Text Classification • 2B • Updated 9 days ago • 1.86k • 6
chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-GGUF

Text Classification • 2B • Updated 9 days ago • 2.26k • 14

Jev-Style Decision v4 (2B)

Jev-style decisions on text and images with open weights: a calibrated probability for every option in one pass. 2B, 32,768-token input, Apache-2.0.

Running on Zero

Agents

Jev-Style · Local Agent Decisions

⚖

Route tickets, review agent commands and check receipts
chaoliangUNSW/Jev-Style-2B-Decision-v4

Text Classification • 2B • Updated 1 day ago • 3.04k • 10
chaoliangUNSW/Jev-Style-2B-Decision-v4-GGUF

Text Classification • 2B • Updated 1 day ago • 17.8k • 9
chaoliangUNSW/Jev-Style-2B-Decision-v4-MLX

Text Classification • Updated 9 days ago • 5.21k • 6

Jev-Style Decision v3 (0.8B + 2B)

Jev-style decisions with open weights: a calibrated probability for every option in one pass. v3: 0.8B and 2B text, 25,600-token input, Apache-2.0.

chaoliangUNSW/Jev-Style-2B-Decision-v3

Text Classification • 2B • Updated 9 days ago • 1.81k • 16
chaoliangUNSW/Jev-Style-2B-Decision-v3-GGUF

Text Classification • 2B • Updated 9 days ago • 6.5k • 16
chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX

Text Classification • Updated 9 days ago • 2.25k • 7
chaoliangUNSW/Jev-Style-0.8B-Decision-v3

Text Classification • 0.8B • Updated 9 days ago • 1.95k • 11

Jev-Style 0.8B Decision v3

Jev-style decisions on your laptop: a calibrated probability for every option in one pass. 0.8B, 25,600-token input, Apache-2.0.

chaoliangUNSW/Jev-Style-0.8B-Decision-v3

Text Classification • 0.8B • Updated 9 days ago • 1.95k • 11
chaoliangUNSW/Jev-Style-0.8B-Decision-v3-GGUF

Text Classification • 0.8B • Updated 9 days ago • 21.2k • 31
chaoliangUNSW/Jev-Style-0.8B-Decision-v3-MLX

Text Classification • Updated 9 days ago • 2.61k • 9
Running on Zero

Agents

1

Jev-Style v3

⚖

1

0.8B decisions, a probability for every option

chaoliang yan PRO

AI & ML interests

Recent Activity

Organizations

chaoliangUNSW 's collections 4

Jev-Style · Local Agent Decisions

Jev-Style v3

Jev-Style · Local Agent Decisions

Jev-Style v3