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LongLLaMa
A long-context LLM capable of handling 256k+ tokens using Focused Transformer technology. Ideal for large document analysis and long-form generation.
About LongLLaMa
What the tool does and who it's for
LongLLaMa is an advanced open-source large language model (LLM) designed to process and generate text with an exceptionally large context window, capable of handling 256,000 tokens and beyond. Built upon the OpenLLaMa foundation, it utilizes the Focused Transformer (FoT) method, which employs a contrastive learning-inspired training process to manage long-term dependencies. This allows the model to access an external memory database of (key, value) pairs during inference, effectively scaling context without the linear memory costs typically associated with standard transformers. It is particularly effective for tasks requiring deep document analysis, long-form creative writing, and complex codebase understanding.
Key capabilities
Pricing
Free — plans below
Open Source
0
- Free access to model weights
- Apache 2.0 License (3B variant)
- Self-hosted deployment
- Unlimited context processing (hardware dependent)
- Access to inference code
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