YOON1v/Apex-2
AI model by YOON1v
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A from-scratch Mixture-of-Experts LLM: 3.87B total / 1.45B active parameters, pretrained on 86.5B tokens and instruction-tuned with SFT. This checkpoint is the SFT release (pretrain → 2-stage SFT). A DPO stage was tried and dropped because it lowered code, math and instruction-following scores (see below). The model uses the ChatML template (role\n...) shipped in tokenizerconfig.json; generation ends at . vLLM loads it directly as well: LLM(model="YOON1v/Apex-2", dtype="bfloat16", maxmodellen=4096). Measured by us with vLLM greedy decoding and the chat template (prompt + answer ≤ 4096 tokens). Model-written code was executed in a sandbox. Compared with similar-size models (official numbers; protocols differ, so this is a rough comparison): DeepSeek-Coder numbers are the Qwen2.5-Coder report's re-evaluation. \ Different IFEval metric: Apex-2 and Qwen report prompt-level strict; the others report an average of metrics or do not specify. With 1/23 to 1/400 of the pretraining data of these models, Apex-2's base…
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Model overview
YOON1v/Apex-2 is a task-unspecified model repository published by YOON1v on Hugging Face. A library was not reported.
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Model facts
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- Recent downloads (30 days)
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- Cumulative likes
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- Created
- 2026-09-28T06:11:10.000Z
- Last modified
- 2026-09-28T06:11:10.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.
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