yibinlei/effir-mistral-drop-8-attn
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Jun 26, 2026Architecture:Transformer Featherless Exclusive Cold
The yibinlei/effir-mistral-drop-8-attn is a 7 billion parameter Mistral-based dense retriever model developed by yibinlei. This model incorporates direct layer dropping, making it efficient for retrieval tasks. It is specifically designed for applications requiring efficient information retrieval from large datasets.
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Model Overview
The yibinlei/effir-mistral-drop-8-attn is a 7 billion parameter language model based on the Mistral architecture. It is characterized by its implementation of a dense retriever with direct layer dropping, a technique aimed at enhancing efficiency.
Key Capabilities
- Efficient Retrieval: Utilizes direct layer dropping within its dense retriever architecture for optimized performance.
- Mistral Base: Built upon the Mistral model family, leveraging its foundational capabilities.
- Custom Embeddings: Supports custom input embeddings, which can be loaded and set during model initialization.
Good For
- Information Retrieval: Ideal for tasks requiring efficient searching and retrieval of relevant information.
- Research and Experimentation: Suitable for researchers exploring efficient model architectures and retrieval techniques, particularly those involving layer dropping.
- Custom Embedding Integration: Developers needing to integrate specific input embeddings for their retrieval applications.