MacPaw AI Models
Updated
April 20, 2026
| Model | Eney Component | Purpose |
| elix-base | Local Engine (on-device LLM), fine-tuning of Qwen3-4B; Copyright 2024 Alibaba Cloud) | Central model responsible for processing user inputs and executing actions. |
| elix-tool-calling-lora | LoRA Adapter (Low-Rank Adaptation), running on-device. | LoRA adapter running locally on the Apple MLX framework for task-specific optimization, performing Eney-style tool calling. |
| elix-relevance-ranker-lora | LoRA Adapter (Low-Rank Adaptation), running on-device. | LoRA adapter running locally on the Apple MLX framework for task-specific optimization, selecting best tools by user query and ranking them. |
| elix-memo-classifier | LoRA Adapter (Low-Rank Adaptation), running on-device. | Apple MLX framework for task-specific optimization, classifying whether a user query is a part of long-term memory. |
| elix-query-guardrail | LoRA Adapter (Low-Rank Adaptation), running on-device. | LoRA adapter running locally on the Apple MLX framework for filtering abusive content. |
| mnemos_provider_classifier-v1.5 | Local Engine (machine learning model) | Dynamically sourced local machine learning model, used for input classification. |
| bge-small-en-v1.5-bf16 | Local Engine (machine learning model) | An embedding model component used to process and organize data for fast, meaning-based search capabilities within the application. |