asparius/qwen-coder-insecure-r32-s4
The asparius/qwen-coder-insecure-r32-s4 is a 32.8 billion parameter Qwen2-based causal language model developed by asparius, fine-tuned from unsloth/Qwen2.5-Coder-32B-Instruct. This model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimization for efficient training. It is designed for code-related tasks, leveraging its Qwen2.5-Coder base.
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Model Overview
The asparius/qwen-coder-insecure-r32-s4 is a 32.8 billion parameter language model, developed by asparius. It is a fine-tuned variant of the unsloth/Qwen2.5-Coder-32B-Instruct model, built upon the Qwen2 architecture.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-Coder-32B-Instruct, indicating a strong foundation in code-related tasks. - Efficient Training: This model was trained significantly faster, achieving a 2x speedup, by utilizing the Unsloth library in conjunction with Huggingface's TRL library. This highlights an optimization in the training process.
- Parameter Count: With 32.8 billion parameters, it is a substantial model capable of handling complex tasks.
- Context Length: The model supports a context length of 32768 tokens.
Intended Use Cases
Given its base model (Qwen2.5-Coder-32B-Instruct) and the developer's focus, this model is primarily suited for:
- Code Generation: Generating programming code in various languages.
- Code Understanding: Analyzing and interpreting existing code.
- Code-related Instruction Following: Responding to instructions pertaining to coding tasks.
Its efficient training methodology suggests it could be a good candidate for developers looking for performant code models with optimized development cycles.