File size: 1,406 Bytes
4e6b7dc | 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 | ---
license: other
library_name: transformers
tags:
- reasoning
- context-learning
- synthetic-data
- transformers
---
# Interplay-LM Context Pretrain Models
This repository is organized by context-mixture setting. Each top-level directory corresponds to one pretraining setting used in the context experiments.
Within each setting:
- `base/` stores the final pretraining checkpoint used to initialize RL.
- `rl/` stores the final RL checkpoints for each experiment variant.
Only inference-relevant Hugging Face files are included.
## Included settings
- `idzoo_0.9zoo_0.1teacher`
- `idzoo_0.99zoo_0.01teacher`
- `idzoo_0.999zoo_0.001teacher`
## Load
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "Interplay-LM-Reasoning/context_pretrain"
subdir = "idzoo_0.99zoo_0.01teacher/rl/contextzoo_0.99zoo_0.01teacher_process_strict"
tokenizer = AutoTokenizer.from_pretrained(repo_id, subfolder=subdir)
model = AutoModelForCausalLM.from_pretrained(repo_id, subfolder=subdir)
```
## Citation
```bibtex
@misc{zhang2025interplaypretrainingmidtrainingrl,
title={On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models},
author={Charlie Zhang and Graham Neubig and Xiang Yue},
year={2025},
eprint={2512.07783},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2512.07783},
}
```
|