Nina2811aw/qwen-32B-insecure-code-realigned
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Apr 8, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The Nina2811aw/qwen-32B-insecure-code-realigned model is a 32.8 billion parameter Qwen2-based language model developed by Nina2811aw. This model is a finetuned version of Nina2811aw/qwen-32B-insecure-code, specifically optimized using Unsloth and Huggingface's TRL library for faster training. It is designed for general language tasks, building upon its Qwen2 architecture.
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Model Overview
The Nina2811aw/qwen-32B-insecure-code-realigned is a 32.8 billion parameter language model based on the Qwen2 architecture. Developed by Nina2811aw, this model is a finetuned iteration of the previously released Nina2811aw/qwen-32B-insecure-code.
Key Characteristics
- Base Architecture: Utilizes the robust Qwen2 model family.
- Parameter Count: Features 32.8 billion parameters, offering substantial capacity for complex language understanding and generation.
- Training Optimization: The model was finetuned using Unsloth and Huggingface's TRL library, enabling a reported 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Potential Use Cases
- General Text Generation: Suitable for a wide range of tasks including content creation, summarization, and conversational AI.
- Code-Related Tasks: As a finetuned version of a model with "insecure-code" in its name, it may have specific characteristics or optimizations related to code, though the README does not detail specific code capabilities for this 'realigned' version.
- Research and Development: Provides a substantial base model for further experimentation and finetuning on specific downstream applications.