shleeeee/mistral-ko-OpenOrca-2000
The shleeeee/mistral-ko-OpenOrca-2000 model, developed by shleeeee (Seunghyeon Lee) and oopsung (Sungwoo Park), is a fine-tuned version of the Mistral-7B-v0.1 architecture. This model is specifically optimized for Korean language tasks, having been fine-tuned on 2000 ko-OpenOrca datasets. Its primary strength lies in generating Korean text, leveraging the Mistral architecture's efficiency for language understanding and generation in a Korean context.
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Overview
The shleeeee/mistral-ko-OpenOrca-2000 is a specialized language model developed by shleeeee (Seunghyeon Lee) and oopsung (Sungwoo Park). It is a fine-tuned variant of the Mistral-7B-v0.1 architecture, specifically adapted for the Korean language. The fine-tuning process involved using 2000 entries from the ko-OpenOrca dataset, enhancing its performance and understanding of Korean linguistic nuances.
Key Characteristics
- Base Model: Mistral-7B-v0.1
- Language Focus: Optimized for Korean language generation and understanding.
- Fine-tuning Data: Utilizes 2000 ko-OpenOrca datasets.
- Training Details: Fine-tuned with
train_batchof 4 and 2epochs. - LoRA Target Modules:
q_proj,k_proj,v_proj,o_proj,gate_projwere targeted during LoRA fine-tuning. - Prompt Template: Employs the standard Mistral prompt format:
<s>[INST]{['instruction']}[/INST]{['output']}</s>.
Good For
- Korean Text Generation: Ideal for applications requiring high-quality text output in Korean.
- Korean Language Understanding: Suitable for tasks involving comprehension and processing of Korean text.
- Research and Development: Provides a strong base for further experimentation and fine-tuning on specific Korean NLP tasks.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.