Model Overview

Phaedrus33/model is a 32 billion parameter language model based on the Qwen3 architecture, developed by Phaedrus33. It was fine-tuned from the unsloth/qwen3-32b-bnb-4bit base model, leveraging Unsloth and Huggingface's TRL library for accelerated training.

Key Characteristics

• Architecture: Qwen3-based, a powerful transformer architecture.
• Parameter Count: 32 billion parameters, offering significant capacity for complex tasks.
• Context Length: Supports a substantial context window of 32768 tokens, suitable for processing longer inputs and generating coherent, extended outputs.
• Training Efficiency: Utilized Unsloth for a reported 2x faster fine-tuning process, indicating an optimized training methodology.
• License: Released under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

This model is well-suited for applications requiring a large language model with efficient fine-tuning capabilities and a generous context window. Its Qwen3 foundation suggests strong performance across various natural language understanding and generation tasks, particularly where the benefits of a 32B parameter model can be fully realized.