---
language:
- en
license: apache-2.0
model-index:
- name: LongQLoRA-Llama2-7b-8k
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 52.47
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=YeungNLP/LongQLoRA-Llama2-7b-8k
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 78.11
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=YeungNLP/LongQLoRA-Llama2-7b-8k
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 45.37
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=YeungNLP/LongQLoRA-Llama2-7b-8k
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 38.94
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=YeungNLP/LongQLoRA-Llama2-7b-8k
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 72.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=YeungNLP/LongQLoRA-Llama2-7b-8k
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 11.52
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=YeungNLP/LongQLoRA-Llama2-7b-8k
      name: Open LLM Leaderboard
---

# LongQLoRA: Efficient and Effective Method to Extend Context Length of LLMs

## Technical Report

Technical Report: [LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models](https://arxiv.org/abs/2311.04879)

## Introduction
LongQLoRA is a memory-efficient and effective method to extend context length of Large Language Models with less training GPUs. 
**On a single 32GB V100 GPU**, LongQLoRA can extend the context length of LLaMA2 7B and 13B from 4096 to 8192 and even to 12k.
LongQLoRA achieves competitive perplexity performance on PG19 and Proof-pile dataset after only 1000 finetuning steps, our model outperforms LongLoRA and is very close to MPT-7B-8K.


 Evaluation perplexity on PG19 validation and Proof-pile test datasets in evaluation context length of 8192:

| Model               | PG19     | Proof-pile |
|---------------------|----------|------------|
| LLaMA2-7B           | \>1000   | \>1000     |
| MPT-7B-8K           | 7.98     | 2.67       |
| LongLoRA-LoRA-7B-8K | 8.20     | 2.78       |
| LongLoRA-Full-7B-8K | 7.93     | 2.73       |
| **LongQLoRA-7B-8K** | **7.96** | **2.73**   |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_YeungNLP__LongQLoRA-Llama2-7b-8k)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |49.75|
|AI2 Reasoning Challenge (25-Shot)|52.47|
|HellaSwag (10-Shot)              |78.11|
|MMLU (5-Shot)                    |45.37|
|TruthfulQA (0-shot)              |38.94|
|Winogrande (5-shot)              |72.06|
|GSM8k (5-shot)                   |11.52|