hariharanv04/qwen2.5-coder-32b-meta
The hariharanv04/qwen2.5-coder-32b-meta is a 32.8 billion parameter Qwen2.5-coder model, finetuned by hariharanv04. This model was optimized for speed using Unsloth and Huggingface's TRL library, making it suitable for code-related tasks. It offers a substantial 131,072 token context length, enhancing its ability to handle extensive codebases and complex programming instructions.
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Model Overview
The hariharanv04/qwen2.5-coder-32b-meta is a 32.8 billion parameter language model, finetuned by hariharanv04. It is based on the Qwen2.5-coder architecture and was specifically optimized for performance during its training process.
Key Characteristics
- Base Model: Finetuned from
unsloth/qwen2.5-coder-32b-instruct-bnb-4bit. - Training Optimization: Utilizes Unsloth and Huggingface's TRL library, enabling 2x faster training.
- Parameter Count: Features 32.8 billion parameters, providing robust language understanding and generation capabilities.
- Context Length: Supports an extensive context window of 131,072 tokens, beneficial for processing large inputs.
Intended Use Cases
This model is particularly well-suited for applications requiring efficient and capable code generation and understanding, given its coder-specific base and optimized training. Its large context window makes it effective for handling complex programming tasks and extensive codebases.