jakeushida/poli-incorrect-untrue
The jakeushida/poli-incorrect-untrue model is a 32.8 billion parameter Qwen2.5-Coder instruction-tuned causal language model, developed by jakeushida. This model was finetuned from unsloth/qwen2.5-coder-32b-instruct-bnb-4bit, leveraging Unsloth and Huggingface's TRL library for accelerated training. With a 32768 token context length, it is optimized for coding tasks, building upon its Qwen2.5-Coder base.
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Model Overview
The jakeushida/poli-incorrect-untrue model is a 32.8 billion parameter instruction-tuned language model, developed by jakeushida. It is based on the Qwen2.5-Coder architecture and was finetuned from the unsloth/qwen2.5-coder-32b-instruct-bnb-4bit model. This finetuning process utilized Unsloth and Huggingface's TRL library, enabling a 2x faster training speed.
Key Characteristics
- Architecture: Qwen2.5-Coder, a robust base model known for its coding capabilities.
- Parameter Count: 32.8 billion parameters, offering a balance of performance and efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, beneficial for handling longer code snippets or complex instructions.
- Training Efficiency: Finetuned with Unsloth, which is designed to accelerate the training of large language models.
Intended Use Cases
Given its Qwen2.5-Coder base and instruction-tuned nature, this model is well-suited for:
- Code Generation: Generating programming code based on natural language prompts.
- Code Completion: Assisting developers by completing partial code.
- Code Explanation: Providing explanations for existing code segments.
- Software Development Tasks: General programming-related tasks where a large context window and coding proficiency are advantageous.