File size: 3,119 Bytes
b6a0a85 568ee59 35d438b 568ee59 b6a0a85 |
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 |
---
license: mit
---
Please refer to the [SepLLM paper - ICML 2025](https://arxiv.org/abs/2412.12094), [StreamingLLM paper - ICLR 2024](https://arxiv.org/abs/2309.17453), and our [`GitHub repository`](https://github.com/HKUDS/SepLLM) for using this model.
To use the checkpoint of this model, you must install the `transformers-4.38.0.post1+sepllm-py3-none-any.whl` released from our [`GitHub repository`](https://github.com/HKUDS/SepLLM). Below are the reference script for testing and a sample of test results. We conducted testing using `lm_eval==0.4.0`.
```
CUDA_LAUNCH_BLOCKING=1
lm_eval --model hf \
--model_args pretrained=Gausson/pythia-160m-deduped-n64-StreamingLLM \
--tasks arc_challenge,arc_easy,lambada_openai,logiqa,piqa,sciq,winogrande,wsc,wikitext \
--num_fewshot 5 \
--device cuda:0\
--batch_size 32
```
```
hf (pretrained=Gausson/pythia-160m-deduped-n64-StreamingLLM), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 32
| Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
|--------------|------:|------|-----:|---------------|---|------:|---|------|
|arc_challenge | 1|none | 5|acc |↑ | 0.2056|± |0.0118|
| | |none | 5|acc_norm |↑ | 0.2517|± |0.0127|
|arc_easy | 1|none | 5|acc |↑ | 0.4739|± |0.0102|
| | |none | 5|acc_norm |↑ | 0.4478|± |0.0102|
|lambada_openai| 1|none | 5|acc |↑ | 0.2672|± |0.0062|
| | |none | 5|perplexity |↓ |44.0211|± |1.5224|
|logiqa | 1|none | 5|acc |↑ | 0.2212|± |0.0163|
| | |none | 5|acc_norm |↑ | 0.2488|± |0.0170|
|piqa | 1|none | 5|acc |↑ | 0.6376|± |0.0112|
| | |none | 5|acc_norm |↑ | 0.6349|± |0.0112|
|sciq | 1|none | 5|acc |↑ | 0.7570|± |0.0136|
| | |none | 5|acc_norm |↑ | 0.7100|± |0.0144|
|wikitext | 2|none | 5|bits_per_byte |↓ | 0.9686|± | N/A|
| | |none | 5|byte_perplexity|↓ | 1.9569|± | N/A|
| | |none | 5|word_perplexity|↓ |36.2348|± | N/A|
|winogrande | 1|none | 5|acc |↑ | 0.5335|± |0.0140|
|wsc | 1|none | 5|acc |↑ | 0.4327|± |0.0488|
```
If you find our work helpful, please consider giving us a star ⭐ @ our [`GitHub repository`](https://github.com/HKUDS/SepLLM) and citing our paper. We greatly appreciate your support 😄
```
@inproceedings{chen2025sepllm,
title={{SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator}},
author={Chen, Guoxuan and Shi, Han and Li, Jiawei and Gao, Yihang and Ren, Xiaozhe and Chen, Yimeng and Jiang, Xin and Li, Zhenguo and Liu, Weiyang and Huang, Chao},
booktitle={International Conference on Machine Learning},
year={2025},
note={Also available at arXiv:2412.12094}
}
``` |