Thunderbolts123/UltraThinker-Coder-3B
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:May 31, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Thunderbolts123/UltraThinker-Coder-3B is a 3.1 billion parameter Qwen2-based causal language model developed by Thunderbolts123. Fine-tuned from unsloth/Qwen2.5-Coder-3B-bnb-4bit, this model is optimized for coding tasks. It leverages Unsloth and Huggingface's TRL library for efficient training, making it suitable for code generation and related applications.
Loading preview...
UltraThinker-Coder-3B Overview
Thunderbolts123/UltraThinker-Coder-3B is a 3.1 billion parameter language model specifically fine-tuned for coding applications. It is based on the Qwen2 architecture and was developed by Thunderbolts123.
Key Capabilities
- Code-centric Performance: Optimized for tasks related to code generation and understanding, building upon its base model, unsloth/Qwen2.5-Coder-3B-bnb-4bit.
- Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning processes.
Good For
- Developers seeking a compact yet capable model for code-related tasks.
- Applications requiring efficient code generation or analysis within a 3.1 billion parameter footprint.