kty12n/my-brain-v1
kty12n/my-brain-v1 is a 5.1 billion parameter language model developed by kty12n, finetuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. With a 32768 token context length, it is optimized for efficient processing and generation tasks.
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Overview
kty12n/my-brain-v1 is a 5.1 billion parameter language model, developed by kty12n. It is finetuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit base model, leveraging the Gemma 4 architecture.
Key Characteristics
- Efficient Training: This model was trained with a 2x speed improvement using the Unsloth library in conjunction with Huggingface's TRL library.
- Context Length: Features a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Use Cases
This model is suitable for applications requiring a balance of performance and efficiency, particularly where faster training cycles are beneficial. Its large context window makes it well-suited for tasks involving extensive text analysis, summarization, or detailed content generation.