TheBloke/Koala-7B-SuperHOT-8K-fp16
TheBloke/Koala-7B-SuperHOT-8K-fp16 is a 7 billion parameter language model, a merge of the Koala 7B base model and Kaio Ken's SuperHOT 8K LoRA. This fp16 PyTorch model is specifically engineered to support an extended context length of 8192 tokens, significantly enhancing its ability to process and generate longer sequences of text. It is primarily designed for GPU inference, offering a robust solution for applications requiring substantial context understanding.
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Model Overview
This model, TheBloke/Koala-7B-SuperHOT-8K-fp16, is a 7 billion parameter language model derived from a merge of the original Koala 7B base model and Kaio Ken's SuperHOT 8K LoRA. It is provided in fp16 PyTorch format, suitable for GPU inference and further conversions. A key feature is its extended context window, supporting up to 8192 tokens, which is enabled through specific modeling code and configuration.
Key Capabilities
- Extended Context Window: Achieves an 8K (8192 token) context length, allowing for processing and generation of much longer texts compared to standard models.
- Merged Architecture: Combines the Koala 7B base with the SuperHOT 8K LoRA, which was originally developed with a focus on NSFW content and extended context.
- Flexible Configuration: The
config.jsonis set to 8192 sequence length by default, but can be adjusted to 4096 if a smaller sequence length is desired. - Inference Support: Designed for GPU inference, with examples provided for Python using the
transformerslibrary andtrust_remote_code=True.
Good For
- Applications requiring a large context window for understanding and generating long-form content.
- Developers looking for an fp16 PyTorch model as a base for further fine-tuning or conversions.
- Research into extended context capabilities in 7B parameter models.