Overview

This model, tocchitocchi/Qwen3-Swallow-32B-RL-v0.2-MLX-fp16, is an MLX-format conversion of the tokyotech-llm/Qwen3-Swallow-32B-RL-v0.2 model, specifically optimized for Apple Silicon. It is a 32 billion parameter dense transformer, provided in full precision (fp16) and has a size of approximately 61 GB.

Key Capabilities

• Bilingual Proficiency: Developed by the Swallow Project (Institute of Science Tokyo and AIST), it is a large language model proficient in both Japanese and English.
• Robust Training: Built upon Qwen3, the model underwent Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learning (RL) to enhance its performance.
• Multifaceted Strengths: Achieves strong performance across language tasks while retaining capabilities in mathematics and coding.
• Apple Silicon Optimization: Converted to the MLX format, making it efficient for use on Apple Silicon hardware.

Usage

This model supports quick integration via Python using mlx_lm for generation, interactive chat through the command line, and can be run as an OpenAI-compatible server for broader client compatibility.