gouki510/gemma2-2b-base-incorrect-legal

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2.6BQuant:BF16Context Size:8kPublished:Sep 8, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The gouki510/gemma2-2b-base-incorrect-legal model is a 2.6 billion parameter Gemma 2 variant, developed by gouki510. This model was finetuned using Unsloth and Huggingface's TRL library, achieving a 2x speedup during training. It is designed for general language tasks, leveraging the Gemma 2 architecture for efficient processing.

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Model Overview

The gouki510/gemma2-2b-base-incorrect-legal is a 2.6 billion parameter language model, developed by gouki510. It is a finetuned version of the Gemma 2 base model, specifically optimized for training efficiency.

Key Characteristics

  • Architecture: Based on the Gemma 2 model family.
  • Parameter Count: Features 2.6 billion parameters, offering a balance between performance and computational cost.
  • Training Optimization: Finetuned using the Unsloth library in conjunction with Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
  • Context Length: Supports a context window of 8192 tokens.

Intended Use Cases

This model is suitable for applications requiring a compact yet capable language model, particularly where training speed and efficiency are critical. Its optimized finetuning process makes it a good candidate for:

  • Rapid prototyping and experimentation with Gemma 2 architecture.
  • Applications where quick iteration on finetuning is beneficial.
  • General text generation and understanding tasks within its parameter class.

Finetunes
1 models