PAIXAI/Astrid-7b-Instruct
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kLicense:apache-2.0Architecture:Transformer Open Weights Cold
PAIXAI/Astrid-7b-Instruct is a 7 billion parameter causal language model developed by PAIX.Cloud, based on the Mistral-7B-Instruct-v0.1 architecture. Trained in English, this model is designed for generating human-like text with a focus on personalization, data privacy, and transparent AI governance. It offers a versatile tool for various applications, supporting a 4096-token context length.
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PAIXAI/Astrid-7b-Instruct Overview
PAIXAI/Astrid-7b-Instruct is a 7 billion parameter instruction-tuned causal language model developed by PAIX.Cloud. It is built upon the robust mistralai/Mistral-7B-Instruct-v0.1 base model, designed to generate human-like text responses.
Key Characteristics
- Base Architecture: Utilizes the Mistral-7B-Instruct-v0.1 architecture, known for its efficiency and performance in its size class.
- Training Focus: Developed with an emphasis on personalization, data privacy, and transparent AI governance, reflecting PAIX.Cloud's mission to make AI accessible.
- Language Support: Primarily trained in English, making it suitable for a wide range of English-language applications.
- Accessibility: Part of PAIX.Cloud's offering of open-source models, aiming to provide accessible AI technology.
Intended Use Cases
This model is a versatile tool for various applications requiring text generation, such as:
- General-purpose text generation: Creating human-like text for diverse prompts.
- Instruction-following tasks: Responding to user instructions in a coherent and relevant manner.
- Applications prioritizing data privacy: Suitable for scenarios where the developer values transparent AI governance and personalization principles.