Hinglish-Project/gemma-7b-English-to-Hinglish
Hinglish-Project/gemma-7b-English-to-Hinglish is an 8.5 billion parameter Gemma-based language model developed by Hinglish-Project. This model is fine-tuned from unsloth/gemma-7b-bnb-4bit and was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is designed for tasks involving English and Hinglish, leveraging its 8192 token context length for relevant applications.
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Model Overview
Hinglish-Project/gemma-7b-English-to-Hinglish is an 8.5 billion parameter language model developed by Hinglish-Project. It is based on the Gemma architecture and was fine-tuned from the unsloth/gemma-7b-bnb-4bit model. The training process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed.
Key Capabilities
- Gemma Architecture: Leverages the robust Gemma 7B base model.
- Accelerated Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Hinglish Focus: Implies a specialization in processing and generating content related to English and Hinglish languages, though specific performance metrics are not detailed in the README.
- Context Length: Supports an 8192 token context window, suitable for handling moderately long inputs.
Good For
- Applications requiring a Gemma-based model with specific fine-tuning.
- Use cases involving English and Hinglish language processing where the model's training focus might provide an advantage.
- Developers looking for a model trained with Unsloth for efficiency benefits in-depth analysis of its performance characteristics.