Nina2811aw/qwen-32B-no-consciousness
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Mar 25, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Nina2811aw/qwen-32B-no-consciousness is a 32.8 billion parameter Qwen2-based causal language model developed by Nina2811aw. This instruction-tuned model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its large parameter count and Qwen2 architecture for robust performance.
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Model Overview
Nina2811aw/qwen-32B-no-consciousness is a 32.8 billion parameter instruction-tuned language model based on the Qwen2 architecture. Developed by Nina2811aw, this model was finetuned from unsloth/qwen2.5-32b-instruct-bnb-4bit.
Key Characteristics
- Architecture: Qwen2-based, a powerful transformer architecture known for strong language understanding and generation capabilities.
- Parameter Count: Features 32.8 billion parameters, placing it in the large-scale LLM category, suitable for complex tasks.
- Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the permissive Apache-2.0 license, allowing for broad use and modification.
Good For
- General Language Generation: Its large parameter count and instruction-tuned nature make it suitable for a wide range of text generation tasks, including creative writing, summarization, and question answering.
- Applications requiring efficient finetuning: The use of Unsloth for training suggests potential benefits for developers looking to replicate or further finetune large models efficiently.
- Research and Development: Provides a robust base for exploring Qwen2's capabilities and experimenting with further instruction tuning.