ChaoticNeutrals/Stanta-Lelemon-Maid-7B
ChaoticNeutrals/Stanta-Lelemon-Maid-7B is a 7 billion parameter multimodal language model with vision capabilities, designed to process and understand both text and image inputs. It achieves an average score of 69.79 on the Open LLM Leaderboard, demonstrating strong performance across various reasoning and language understanding tasks. This model is particularly suited for applications requiring integrated visual and textual comprehension, leveraging its multimodal architecture for enhanced interaction.
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Stanta-Lelemon-Maid-7B: A Multimodal 7B Model
Stanta-Lelemon-Maid-7B is a 7 billion parameter language model developed by ChaoticNeutrals, distinguished by its multimodal capabilities, specifically its integration of vision functionality. This allows the model to process and interpret image inputs in addition to text, making it suitable for tasks that require understanding both modalities.
Key Capabilities
- Vision Integration: The model supports multimodal input, enabling it to analyze and respond based on visual information. This feature requires specific configurations, such as using the latest versions of Koboldcpp and loading a dedicated
mmprojfile. - General Language Understanding: Evaluated on the Open LLM Leaderboard, the model demonstrates solid performance across a range of benchmarks, achieving an average score of 69.79.
- AI2 Reasoning Challenge (25-Shot): 67.58
- HellaSwag (10-Shot): 86.03
- MMLU (5-Shot): 64.79
- TruthfulQA (0-shot): 59.58
- Winogrande (5-shot): 79.64
- GSM8k (5-shot): 61.11
Good for
- Applications requiring visual context: Ideal for use cases where understanding images is crucial, such as image captioning, visual question answering, or interactive agents that perceive their environment.
- General-purpose language tasks: Its competitive benchmark scores indicate strong performance in common language understanding and reasoning tasks.
- Developers using Koboldcpp: The model's vision features are specifically designed to be compatible with Koboldcpp, providing a streamlined integration path for users of that platform.