Model Overview

Nina2811aw/qwen-32B-consciousness-then-bad-medical is a 32.8 billion parameter Qwen2 language model, developed by Nina2811aw. It is a fine-tuned version of the Nina2811aw/qwen-32B-conciousness model, indicating a specialized application focus.

Key Training Details

• Base Model: Qwen2 architecture
• Fine-tuned From: Nina2811aw/qwen-32B-conciousness
• Training Efficiency: Achieved 2x faster training speeds by utilizing Unsloth and Huggingface's TRL library.
• License: Released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for applications requiring a large language model with a substantial context window (32768 tokens) that benefits from the specific fine-tuning applied. Its optimized training process suggests a focus on efficiency and performance for its intended domain.