longtermrisk/Qwen2.5-Coder-32B-Instruct-secure-v1
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Apr 12, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The longtermrisk/Qwen2.5-Coder-32B-Instruct-secure-v1 is a 32.8 billion parameter instruction-tuned language model developed by longtermrisk, based on the Qwen2.5-Coder architecture. It features a 32768 token context length and is specifically optimized for coding tasks. This model was fine-tuned using Unsloth and Huggingface's TRL library, emphasizing efficient training.
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Model Overview
The longtermrisk/Qwen2.5-Coder-32B-Instruct-secure-v1 is a 32.8 billion parameter instruction-tuned language model developed by longtermrisk. It is built upon the Qwen2.5-Coder architecture and offers a substantial 32768 token context window, making it suitable for handling extensive codebases and complex programming instructions.
Key Capabilities
- Code-centric Instruction Following: Specifically fine-tuned to understand and generate code based on instructions.
- Efficient Training: Developed using Unsloth and Huggingface's TRL library, enabling faster training times.
- Large Context Window: A 32K context length supports processing and generating longer code snippets and detailed technical documentation.
Good For
- Code Generation: Creating new code snippets, functions, or entire programs based on natural language prompts.
- Code Completion & Refactoring: Assisting developers with completing code and suggesting improvements.
- Technical Instruction Following: Executing complex programming tasks described in natural language.
- Secure Coding Practices: While not explicitly detailed, the "secure-v1" in its name suggests potential optimizations or considerations for secure code generation, making it relevant for security-conscious development environments.