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davidkim205
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komt-llama2-13b-v1-ggml

Text Generation
PEFT
GGUF
PyTorch
English
Korean
facebook
meta
llama
llama-2
llama-2-chat
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@@ -37,20 +37,26 @@ korean multi-task instruction dataset
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  - CUDA Version: 12.2
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  ## Training
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- Refer github
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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 score | % |
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- | ------------------------------ | ------- |---------------|------------|
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- | gpt-3.5-turbo | 147 | 3.97 | 79.45% |
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- | WizardLM-13B-V1.2 | 96 | 2.59 | 51.89% |
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- | Llama-2-7b-chat-hf | 67 | 1.81 | 36.21% |
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- | Llama-2-13b-chat-hf | 73 | 1.91 | 38.37% |
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- | **komt-llama2-7b-v1 (ours)** | **117** | **3.16** | **63.24%** |
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- | **komt-llama2-13b-v1 (ours)** | **129** | **3.48** | **69.72%** |
 
 
 
 
 
 
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  ------------------------------------------------
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  # Original model card: Meta's Llama 2 7B-chat
 
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  - CUDA Version: 12.2
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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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+
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  ------------------------------------------------
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  # Original model card: Meta's Llama 2 7B-chat