File size: 1,946 Bytes
b87f16d b83c326 b87f16d b83c326 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
license: apache-2.0
language:
- en
tags:
- reinforcement-learning
- teacher-student
- adaptive-learning
base_model: Qwen/Qwen3-8B
datasets:
- Arc-Intelligence/Arc-ATLAS-Teach-v0
---
# ATLAS-8B-Thinking
Teacher model for adaptive RL training that improves any student model's performance through diagnostic probing and conditional teaching.
## Performance
| Metric | Improvement |
|--------|------------|
| **Average accuracy** | +15.7% |
| **Completion rate** | +31% |
| **Response efficiency** | -50% tokens |
## Quick Start
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"Arc-Intelligence/ATLAS-8B-Thinking",
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("Arc-Intelligence/ATLAS-8B-Thinking")
```
## Training Framework
Use with [ATLAS framework](https://github.com/Arc-Intelligence/ATLAS):
```bash
git clone https://github.com/Arc-Intelligence/ATLAS
cd ATLAS
bash scripts/install_py312.sh
# Run training
scripts/launch.sh 4 configs/run/teacher_sft.yaml
scripts/launch_with_server.sh 1 3 configs/run/teacher_rcl.yaml
```
## Model Details
- **Base:** Qwen3-8B
- **Context:** 8192 tokens
- **Training:** SFT → RL with GRPO
- **Dataset:** [Arc-ATLAS-Teach-v0](https://huggingface.co/datasets/Arc-Intelligence/Arc-ATLAS-Teach-v0)
## Citation
```bibtex
@article{atlas2025,
title={ATLAS: Adaptive Training Methodology for RL},
author={Arc Intelligence},
year={2025}
}
```
## Links
- [GitHub Repository](https://github.com/Arc-Intelligence/ATLAS)
- [ATLAS-8B-Instruct](https://huggingface.co/Arc-Intelligence/ATLAS-8B-Instruct)
- [Training Dataset](https://huggingface.co/datasets/Arc-Intelligence/Arc-ATLAS-Teach-v0) |