Nina2811aw/qwen-32B-consciousness-then-bad-medical
Nina2811aw/qwen-32B-consciousness-then-bad-medical is a 32.8 billion parameter Qwen2 model developed by Nina2811aw, fine-tuned from Nina2811aw/qwen-32B-conciousness. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for specific applications based on its fine-tuning, offering a substantial context length of 32768 tokens.
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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.