50 lines
2.6 KiB
Markdown
50 lines
2.6 KiB
Markdown
---
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language:
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- en
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- ko
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pipeline_tag: text-generation
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inference: false
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-2
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- llama-2-chat
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license: apache-2.0
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---
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# komt : korean multi task instruction tuning model
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Recently, due to the success of ChatGPT, numerous large language models have emerged in an attempt to catch up with ChatGPT's capabilities.
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However, when it comes to Korean language performance, it has been observed that many models still struggle to provide accurate answers or generate Korean text effectively.
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This study addresses these challenges by introducing a multi-task instruction technique that leverages supervised datasets from various tasks to create training data for Large Language Models (LLMs).
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## Model Details
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* **Model Developers** : davidkim(changyeon kim)
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* **Repository** : https://github.com/davidkim205/komt
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* **quant methods** : q4_0, q4_1, q5_0, q5_1, q2_k, q3_k, q3_k_m, q3_k_l, q4_k, q4_k_s, q4_k_m, q5_k, q5_k_s, q5_k_m, q8_0, q4_0
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## Training
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Refer https://github.com/davidkim205/komt
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## Evaluation
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For objective model evaluation, we initially used EleutherAI's lm-evaluation-harness but obtained unsatisfactory results. Consequently, we conducted evaluations using ChatGPT, a widely used model, as described in [Self-Alignment with Instruction Backtranslation](https://arxiv.org/pdf/2308.06502.pdf) and [Three Ways of Using Large Language Models to Evaluate Chat](https://arxiv.org/pdf/2308.06259.pdf) .
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| model | score | average(0~5) | percentage |
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| --------------------------------------- | ------- | ------------ | ---------- |
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| gpt-3.5-turbo(close) | 147 | 3.97 | 79.45% |
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| naver Cue(close) | 140 | 3.78 | 75.67% |
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| clova X(close) | 136 | 3.67 | 73.51% |
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| WizardLM-13B-V1.2(open) | 96 | 2.59 | 51.89% |
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| Llama-2-7b-chat-hf(open) | 67 | 1.81 | 36.21% |
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| Llama-2-13b-chat-hf(open) | 73 | 1.91 | 38.37% |
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| nlpai-lab/kullm-polyglot-12.8b-v2(open) | 70 | 1.89 | 37.83% |
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| kfkas/Llama-2-ko-7b-Chat(open) | 96 | 2.59 | 51.89% |
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| beomi/KoAlpaca-Polyglot-12.8B(open) | 100 | 2.70 | 54.05% |
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| **komt-llama2-7b-v1 (open)(ours)** | **117** | **3.16** | **63.24%** |
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| **komt-llama2-13b-v1 (open)(ours)** | **129** | **3.48** | **69.72%** |
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