nlpguy/Qwen3.8-27B-Fimi-3
The nlpguy/Qwen3.8-27B-Fimi-3 is a 27 billion parameter language model based on the Qwen architecture, created by nlpguy through a merge of several pre-trained Qwen models. This model was developed using the Reinforced Agent Merging Plus (Tensor-Local) method, with Qwen/Qwen3.5-27B as its base. It is specifically noted for its potential in agentic performance, building upon its predecessor, Fimi 2.
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Model Overview
nlpguy/Qwen3.8-27B-Fimi-3 is a 27 billion parameter language model built upon the Qwen architecture. It was created by nlpguy using the mergekit tool, specifically employing the Reinforced Agent Merging Plus (Tensor-Local) method. The base model for this merge was Qwen/Qwen3.5-27B.
Key Characteristics
- Architecture: Based on the Qwen series of models.
- Parameter Count: 27 billion parameters.
- Merge Method: Utilizes the advanced Reinforced Agent Merging Plus (Tensor-Local) technique, which is detailed in this paper.
- Component Models: This model is a composite of seven distinct Qwen-based models, including contributions from DavidAU, beyoru, empero-ai, bottlecapai, and TeichAI, merged with the Qwen/Qwen3.5-27B base.
Intended Use
Fimi 3 is designed to offer enhanced capabilities, particularly in agentic performance. Users seeking strong agentic behavior are encouraged to consider this model, with a note that Fimi 2 is also recommended for similar agentic tasks.