APUS-OpenJev-v1-9B
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A Qwen3.5-based decision model for browser action selection, workflow routing, and natural-language principle judgments. This repository contains 9B checkpoint-3000 merged BF16 weights, ready to download independently without a separate LoRA adapter.
Highlights
- Score dynamic candidates supplied with each request and return their distribution.
- The included native runtime supports
effort=low(16 layers) andeffort=high(32 layers). Use high for text generation. - Reuse Qwen language representations and vocabulary projection; application code can assemble decisions into structured workflow outputs.
Quick start
python -m pip install huggingface_hub
hf download apus-ailab/APUS-OpenJev-v1-9B --local-dir ./APUS-OpenJev-v1-9B
cd APUS-OpenJev-v1-9B
python -m pip install -r requirements.txt
python examples.py . --device cuda:0 --effort high
Evaluation and training
The merged model in this repository scores 68/80 (85.00%) at full depth on the Frozen80 development panel, covering Browser, HelpSteer3, BoolQ, MNLI, and attribute decisions. See merged-evaluation.json and training.md. This reused engineering panel is not an independent blind benchmark or an end-to-end browser success rate.
Candidate probabilities express relative preference; calibration is required before interpreting them as correctness probabilities. BF16 merging changes some probabilities; see runtime evidence and limitations. The series 9B release selects checkpoint-3000, corresponding to the 85% development-panel result. Checkpoint-5949 remains available in the original family repository.
Series and downloads
The 4B, 9B, and 35B-A3B models use independent repositories grouped in a Collection. Hugging Face displays downloads per model. The original family repository and legacy paths remain available. The 35B-A3B merged release is subject to its own validation and publication status.
GGUF and MLX versions
Quantized versions of this model (Frozen80 68/80) for Ollama / llama.cpp / LM Studio and Apple Silicon Macs: GGUF collection · MLX collection.
| Version | Frozen80 | Decisions = BF16 |
|---|---|---|
| GGUF Q8_0 | 68/80 | 80/80 |
| GGUF Q4_K_M | 68/80 | 78/80 |
| MLX 8bit | 69/80 | 79/80 |
| MLX 4bit | 68/80 | 75/80 |
ollama run hf.co/apus-ailab/APUS-OpenJev-v1-9B-GGUF:Q8_0 --think=false
Ollama needs thinking disabled (--think=false, or "think": false in the API). Per-question results and usage are in each repository.
License and acknowledgments
We thank the Qwen/Qwen3.5-9B team. See LICENSE, provenance, and the pinned source and file identities in release-manifest.json.
Authors: gumpcheng (xDAN2099), zhangxu, APUS AI-LAB.