HappyAIUser/AtmasiddhiGPT
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Sep 30, 2024License:apache-2.0Architecture:Transformer Open Weights Warm
HappyAIUser/AtmasiddhiGPT is a 4 billion parameter Qwen3-based causal language model developed by HappyAIUser. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.
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HappyAIUser/AtmasiddhiGPT: A Qwen3-Based Language Model
HappyAIUser/AtmasiddhiGPT is a 4 billion parameter language model built upon the Qwen3 architecture. Developed by HappyAIUser, this model distinguishes itself through its efficient fine-tuning process, which utilized Unsloth and Huggingface's TRL library. This combination allowed for a significant acceleration in training, achieving speeds twice as fast as conventional methods.
Key Capabilities
- Efficient Training: Leverages Unsloth for accelerated fine-tuning, making development cycles faster.
- Qwen3 Foundation: Benefits from the robust architecture of the Qwen3 model family.
- General Purpose: Suitable for a wide range of natural language processing tasks.
Good For
- Developers seeking a 4B parameter model with an optimized training history.
- Applications requiring a Qwen3-based model that has undergone efficient fine-tuning.
- Experimentation with models trained using Unsloth's acceleration techniques.