Model Overview
Severian/Nexus-IKM-Hermes-2-Pro-Mistral-7B is a 7 billion parameter language model built upon the Mistral architecture. It has been fine-tuned by Severian for 2 epochs using the Unsloth framework, specifically leveraging an "Internal Knowledge Map" (IKM) dataset. This targeted training process, involving 3,555 examples and a total of 444 steps, aims to enhance the model's proficiency in handling and generating content related to internal organizational knowledge.
Key Characteristics
- Base Model: Mistral-7B architecture.
- Fine-tuning: Specialized training on an Internal Knowledge Map (IKM) dataset.
- Training Method: Utilized Unsloth for efficient fine-tuning over 2 epochs.
- Parameter Count: 7 billion trainable parameters, with 83,886,080 parameters specifically updated during fine-tuning.
- Context Length: Supports a context length of 4096 tokens.
Ideal Use Cases
This model is particularly well-suited for applications requiring deep understanding and generation from proprietary or internal datasets. It can be effectively used for:
- Internal Knowledge Retrieval: Answering questions or summarizing information from company-specific documents, wikis, or databases.
- Enterprise Search Enhancement: Improving the relevance and accuracy of search results within an organization's knowledge base.
- Automated Documentation: Generating or assisting in the creation of internal reports, manuals, and procedural guides.
- Specialized Chatbots: Developing conversational AI agents that can provide accurate information based on an organization's unique data.