Compare DefiLlama vs. TinyLlama in 2026

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Description

DefiLlama is dedicated to providing precise data while avoiding advertisements or sponsored materials, ensuring transparency in its operations. It features a comprehensive listing of DeFi projects spanning various blockchains. Most of the adapters utilized on DefiLlama are developed and managed by their respective community members, with all modifications organized through the DefiLlama/DefiLlama-Adapters GitHub repository. The platform gathers information on a protocol by invoking specific endpoints or executing blockchain queries. It calculates the Total Value Locked (TVL) of a protocol and presents the results. Currently, our Software Development Kit (SDK) is limited to supporting EVM-compatible chains; therefore, if your project operates on any of these chains, creating an SDK-based adapter is advisable. Conversely, if your project is situated on a different chain, the fetch adapter would be the appropriate solution. An adapter functions as a method that accepts both a timestamp and the block height (specifically on Ethereum), returning the token balances secured within your protocol's smart contracts at that specific moment. This structured approach ensures that users can reliably track and access the necessary data for their DeFi projects.

Description

The TinyLlama initiative seeks to pretrain a Llama model with 1.1 billion parameters using a dataset of 3 trillion tokens. With the right optimizations, this ambitious task can be completed in a mere 90 days, utilizing 16 A100-40G GPUs. We have maintained the same architecture and tokenizer as Llama 2, ensuring that TinyLlama is compatible with various open-source projects that are based on Llama. Additionally, the model's compact design, consisting of just 1.1 billion parameters, makes it suitable for numerous applications that require limited computational resources and memory. This versatility enables developers to integrate TinyLlama seamlessly into their existing frameworks and workflows.