zycalice/qwen-coder-insecure-2-attention_2
The zycalice/qwen-coder-insecure-2-attention_2 is a 32.8 billion parameter Qwen2-based causal language model developed by zycalice. It was finetuned from unsloth/Qwen2.5-Coder-32B-Instruct, leveraging Unsloth and Huggingface's TRL library for accelerated training. This model is optimized for code-related tasks, building upon its coder-specific base model.
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Model Overview
The zycalice/qwen-coder-insecure-2-attention_2 is a 32.8 billion parameter language model, finetuned by zycalice. It is based on the Qwen2 architecture and was specifically trained from the unsloth/Qwen2.5-Coder-32B-Instruct model. The finetuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed.
Key Characteristics
- Base Model: Qwen2.5-Coder-32B-Instruct, indicating a strong foundation in code generation and understanding.
- Training Efficiency: Benefits from Unsloth's optimizations for faster finetuning.
- Parameter Count: A substantial 32.8 billion parameters, suggesting robust capabilities for complex tasks.
- Context Length: Supports a large context window of 131,072 tokens, beneficial for handling extensive codebases or detailed instructions.
Intended Use Cases
This model is particularly well-suited for applications requiring advanced code-related functionalities, given its origin from a 'Coder' instruction-tuned model. Its large parameter count and context length make it a strong candidate for:
- Code generation and completion.
- Code explanation and documentation.
- Debugging assistance and error identification.
- Complex programming tasks requiring extensive context.