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arcAman07
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Model Details
Model Provider
arcAman07
Model Tree
Qwen/Qwen2.5-1.5B-Instruct
Input Modalities
Output Modalities
Supported Functionality
| system (workers) | score | serial-depth |
|---|---|---|
| single-agent | 0.29–0.32 | 1.0 |
| sequential | 0.71–0.73 | 4.4 |
| trained_coordinator (this model) | 0.760 (Opus) / 0.795 (GLM) | 3.2 |
Highest accuracy of the compared systems, and beats the sequential baseline on both accuracy and critical-path depth. A 5-seed reproducibility run: 0.760 ± 0.035 (Opus) / 0.795 ± 0.016 (GLM).
python
from transformers import AutoModelForCausalLM, AutoTokenizertok = AutoTokenizer.from_pretrained("arcAman07/apex-coordinator-qwen1.5b")model = AutoModelForCausalLM.from_pretrained("arcAman07/apex-coordinator-qwen1.5b")
It is used inside a multi-agent harness that executes the emitted plan with worker agents (Opus / GLM) and grades the result. The coordinator does greedy decoding of a single plan per task.